mirror of
https://github.com/konvajs/konva.git
synced 2026-01-18 19:51:21 +08:00
Merge pull request #524 from ippo615/master
jsHint Cleanup and New Filters
This commit is contained in:
@@ -39,7 +39,9 @@ module.exports = function(grunt) {
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'src/filters/Brighten.js',
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'src/filters/Invert.js',
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'src/filters/Blur.js',
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'src/filters/Mask.js'
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'src/filters/Mask.js',
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'src/filters/Colors.js',
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'src/filters/Convolution.js'
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];
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var unitTestFiles = [
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@@ -30,7 +30,7 @@
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child;
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while(children.length > 0) {
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var child = children[0];
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child = children[0];
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if (child.hasChildren()) {
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child.removeChildren();
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}
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@@ -105,6 +105,7 @@
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radiusPlus1 = radius + 1,
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sumFactor = radiusPlus1 * ( radiusPlus1 + 1 ) / 2,
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stackStart = new BlurStack(),
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stackEnd = null,
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stack = stackStart,
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stackIn = null,
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stackOut = null,
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@@ -113,7 +114,7 @@
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for ( i = 1; i < div; i++ ) {
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stack = stack.next = new BlurStack();
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if ( i == radiusPlus1 ) var stackEnd = stack;
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if ( i == radiusPlus1 ) stackEnd = stack;
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}
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stack.next = stackStart;
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@@ -167,7 +168,7 @@
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for ( x = 0; x < width; x++ )
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{
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pixels[yi+3] = pa = (a_sum * mul_sum) >> shg_sum;
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if ( pa != 0 )
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if ( pa !== 0 )
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{
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pa = 255 / pa;
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pixels[yi] = ((r_sum * mul_sum) >> shg_sum) * pa;
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148
src/filters/Colors.js
Normal file
148
src/filters/Colors.js
Normal file
@@ -0,0 +1,148 @@
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(function() {
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var rgb_to_hsl = function(r,g,b){
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// Input colors are in 0-255, calculations are between 0-1
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r /= 255; g /= 255; b /= 255;
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// http://en.wikipedia.org/wiki/HSL_and_HSV
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// Convert to HSL
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var max = Math.max(r,g,b),
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min = Math.min(r,g,b),
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chroma = max - min,
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luminance = chroma / 2,
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saturation = chroma / (1 - Math.abs(2*luminance-1)),
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hue = 0;
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if( max == r ){ hue = ((g-b)/chroma) % 6; }else
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if( max == g ){ hue = (b-r)/chroma + 2; }else
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if( max == b ){ hue = (r-g)/chroma + 4; }
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return [(hue*60+360) % 360, saturation, luminance];
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};
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var pixelShiftHue = function(r,g,b,deg){
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// Input colors are in 0-255, calculations are between 0-1
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r /= 255; g /= 255; b /= 255;
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// http://en.wikipedia.org/wiki/HSL_and_HSV
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// Convert to HSL
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var max = Math.max(r,g,b),
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min = Math.min(r,g,b),
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chroma = max - min,
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luminance = chroma / 2,
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saturation = chroma / (1 - Math.abs(2*luminance-1)),
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hue = 0;
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if( max == r ){ hue = ((g-b)/chroma) % 6; }else
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if( max == g ){ hue = (b-r)/chroma + 2; }else
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if( max == b ){ hue = (r-g)/chroma + 4; }
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hue *= 60;
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hue %= 360;
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// Shift hue
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hue += deg;
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hue %= 360;
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//hue /= 360;
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// hsl to rgb:
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hue /= 60;
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var rR = 0, rG = 0, rB = 0,
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//chroma = saturation*(1 - Math.abs(2*luminance - 1)),
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tmp = chroma * (1-Math.abs(hue % 2 - 1)),
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m = luminance - chroma/2;
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if( 0 <= hue && hue < 1 ){ rR = chroma; rG = tmp; }else
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if( 1 <= hue && hue < 2 ){ rG = chroma; rR = tmp; }else
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if( 2 <= hue && hue < 3 ){ rG = chroma; rB = tmp; }else
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if( 3 <= hue && hue < 4 ){ rB = chroma; rG = tmp; }else
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if( 4 <= hue && hue < 5 ){ rB = chroma; rR = tmp; }else
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if( 5 <= hue && hue < 6 ){ rR = chroma; rB = tmp; }
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rR += m; rG += m; rB += m;
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rR = (255*rR);
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rG = (255*rG);
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rB = (255*rB);
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return [rR,rG,rB];
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};
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var shift_hue = function(imageData,deg){
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var data = imageData.data,
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pixel;
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for(var i = 0; i < data.length; i += 4) {
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pixel = pixelShiftHue(data[i+0],data[i+1],data[i+2],deg);
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data[i+0] = pixel[0];
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data[i+1] = pixel[1];
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data[i+2] = pixel[2];
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}
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};
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/**
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* shift hue
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* @function
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* @memberof Kinetic.Filters
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* @param {Object} imageData
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*/
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Kinetic.Filters.ShiftHue = function(imageData) {
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shift_hue(imageData,this.getFilterHueShiftDeg());
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};
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Kinetic.Node.addFilterGetterSetter(Kinetic.Image, 'filterHueShiftDeg', 0);
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/**
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* get hue shift amount. The shift amount is a number between 0 and 360.
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* @name getFilterBrightness
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* @method
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* @memberof Kinetic.Image.prototype
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*/
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/**
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* set hue shift amount
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* @name setFilterBrightness
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* @method
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* @memberof Kinetic.Image.prototype
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*/
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/**
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* colorizes the image so that it is just varying shades of the specified color
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* @function
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* @memberof Kinetic.Filters
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* @param {Object} imageData
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*/
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Kinetic.Filters.Colorize = function(imageData) {
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var data = imageData.data;
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// First we'll colorize it red, then shift by the hue specified
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var color = this.getFilterColorizeColor(),
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hsl = rgb_to_hsl(color[0],color[1],color[2]),
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hue = hsl[0];
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// Color it red
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for(var i = 0; i < data.length; i += 4) {
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data[i + 1] = 0;
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data[i + 2] = 0;
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}
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// Shift by the hue
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shift_hue(imageData,hue);
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};
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Kinetic.Node.addFilterGetterSetter(Kinetic.Image, 'filterColorizeColor', [255,0,0] );
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/**
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* Gets the colorizing color.
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* @name getFilterColorizeColor
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* @method
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* @memberof Kinetic.Image.prototype
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*/
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/**
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* Gets the colorizing color. Should be an array [r,g,b] ie [255,0,128].
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* note that white [255,255,255] black [0,0,0] and greys [r,r,r] get treated as red.
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* @name setFilterColorizeColor
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* @method
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* @memberof Kinetic.Image.prototype
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*/
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})();
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393
src/filters/Convolution.js
Normal file
393
src/filters/Convolution.js
Normal file
@@ -0,0 +1,393 @@
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(function() {
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var convolve_internal = function(imageData,matrix){
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// Input data
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var pixels = imageData.data,
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imageSizeX = imageData.width,
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imageSizeY = imageData.height,
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nPixels = imageSizeX*imageSizeY,
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pixel;
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// An array for storing the result
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var result = [];
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result.length = imageSizeX*imageSizeY*4;
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// Determine the size and demsionality of the matrix
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// Note: it should be square and odd (3,5,7,9 etc...)
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var is2D = (matrix[0].length > 0) || 0,
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matrixSizeX = matrix.length,
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matrixSizeY = matrix.length;
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// Make sure we don't try to access pixels outside the image
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var xMax = Math.floor(imageSizeX - matrixSizeX/2),
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xMin = Math.floor(matrixSizeX/2),
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yMax = Math.floor(imageSizeY - matrixSizeY/2),
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yMin = Math.floor(matrixSizeY/2);
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// Accumlators and positions for iterating
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var r,g,b,a, x, y, pos, i,j;
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// Handle the 2D matrix
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if( is2D ){
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for( y=yMin; y<yMax; y+=1){
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for( x=xMin; x<xMax; x+=1){
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// Perform the convolution
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r = 0; g = 0; b = 0; a = 0;
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for( i=0; i<matrixSizeX; i+=1){
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for( j=0; j<matrixSizeY; j+=1){
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pos = ((y+j)*imageSizeX+x+i)*4;
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r += matrix[j][i]*pixels[pos+0];
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g += matrix[j][i]*pixels[pos+1];
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b += matrix[j][i]*pixels[pos+2];
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//a += matrix[j][i]*pixels[pos+3];
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}
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}
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// Store the result
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pos = (y*imageSizeX+x)*4;
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result[pos+0] = r;
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result[pos+1] = g;
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result[pos+2] = b;
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//result[pos+3] = a;
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}
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}
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}
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// Handle the 1D matrix
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else{
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// Horizontal pass (ie convolving every row of the image)
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for( y=0; y<imageSizeY; y+=1){
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for( x=xMin; x<xMax; x+=1){
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pos = (y*imageSizeX+x)*4;
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// Perform the convolution
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r = 0; g = 0; b = 0; a = 0;
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for( j=0; j<matrixSizeX; j+=1){
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pos += 4;
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r += matrix[j]*pixels[pos+0];
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g += matrix[j]*pixels[pos+1];
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b += matrix[j]*pixels[pos+2];
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//a += matrix[j]*pixels[pos+3];
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}
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// Multiply by 1/2 because the other 1/2 comes from the vertical pass
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pos = (y*imageSizeX+x)*4;
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result[pos+0] = r*0.5;
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result[pos+1] = g*0.5;
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result[pos+2] = b*0.5;
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//result[pos+3] = a*0.5;
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}
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}
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// Vertical pass (ie convolving every column of the image)
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for( x=0; x<imageSizeX; x+=1){
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for( y=yMin; y<yMax; y+=1){
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pos = (y*imageSizeX+x)*4;
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// Perform the convolution
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r = 0; g = 0; b = 0; a = 0;
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for( j=0; j<matrixSizeX; j+=1){
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pos += 4*imageSizeX;
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r += matrix[j]*pixels[pos+0];
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g += matrix[j]*pixels[pos+1];
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b += matrix[j]*pixels[pos+2];
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//a += matrix[j]*pixels[pos+3];
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}
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// Multiply by 1/2 and add to horizontal pass results
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pos = (y*imageSizeX+x)*4;
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result[pos+0] += r*0.5;
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result[pos+1] += g*0.5;
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result[pos+2] += b*0.5;
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//result[pos+3] += a*0.5;
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}
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}
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}
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// copy the result to the original canvas
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var lastPos = nPixels*4;
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for( pos=0; pos<lastPos; pos+=4 ){
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pixels[pos+0] = result[pos+0];
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pixels[pos+1] = result[pos+1];
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pixels[pos+2] = result[pos+2];
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//pixels[pos+3] = result[pos+3];
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}
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};
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// Definition of a gaussian function
|
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var gaussian = function(x,mean,sigma){
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var dx = x - mean;
|
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return Math.pow(Math.E, -dx*dx / (2*sigma*sigma));
|
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};
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var make_blur_kernel = function( size, scale ){
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// make sure size is odd:
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if( size % 2 === 0 ){ size += 1; }
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// Generate the kernel, we can just multiply 2 single dimensional
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// gaussians to get a 2D guassian
|
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var kernel = [], i,j, row;
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for( i=0; i<size; i+=1 ){
|
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row = [];
|
||||
for( j=0; j<size; j+=1 ){
|
||||
row.push( scale * gaussian(i,size/2,1) * gaussian(j,size/2,1) );
|
||||
}
|
||||
kernel.push(row);
|
||||
}
|
||||
|
||||
return kernel;
|
||||
};
|
||||
|
||||
var make_soft_blur_kernel = function( size, blur_percent ){
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// A soft blur is achieve by blurring the image then
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// merging the blured and unblurred image (ie 60/40).
|
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// Instead of that we've scaling the blur kernel (ie 60)
|
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// and adding the identity scaled (ie 40) to the kernel
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||||
var kernel = make_blur_kernel( size, blur_percent / 100 ),
|
||||
mid = Math.floor(size/2);
|
||||
kernel[mid][mid] += 1 - (blur_percent/100);
|
||||
return kernel;
|
||||
};
|
||||
|
||||
var make_unsharp_kernel = function( size, unsharp_percent ){
|
||||
// An 'unsharp mask' is made by blurring the inverted image
|
||||
// and combining it with the original (like a soft blur but
|
||||
// with the blur negated). We can achieve this by negating
|
||||
// blur kernel, and adding twice the identity to that kernel.
|
||||
var kernel = make_blur_kernel( size, -blur_percent / 100 ),
|
||||
mid = Math.floor(size/2);
|
||||
kernel[mid][mid] += 2;
|
||||
return kernel;
|
||||
};
|
||||
|
||||
/**
|
||||
* general convolution
|
||||
* @function
|
||||
* @memberof Kinetic.Filters
|
||||
* @param {Object} imageData
|
||||
*/
|
||||
Kinetic.Filters.Convolve = function(imageData) {
|
||||
convolve_internal(imageData,this.getFilterConvolutionMatrix());
|
||||
};
|
||||
|
||||
Kinetic.Node.addFilterGetterSetter(Kinetic.Image, 'filterConvolutionMatrix', 0);
|
||||
/**
|
||||
* get the current convolution matrix.
|
||||
* @name getFilterConvolutionMatrix
|
||||
* @method
|
||||
* @memberof Kinetic.Image.prototype
|
||||
*/
|
||||
|
||||
/**
|
||||
* set the current convolution matrix, can be a single dimensional array
|
||||
* or a 2D array. A 1D array will be applied horizontally then flipped
|
||||
* and applied vertically. A 2D array will be applied as-is. The array
|
||||
* dimensions should be odd (ie 3x3, 5x5, 7, etc...)
|
||||
* @name setFilterConvolutionMatrix
|
||||
* @method
|
||||
* @memberof Kinetic.Image.prototype
|
||||
*/
|
||||
|
||||
/**
|
||||
* unsharp mask
|
||||
* @function
|
||||
* @memberof Kinetic.Filters
|
||||
* @param {Object} imageData
|
||||
*/
|
||||
Kinetic.Filters.UnsharpMask = function(imageData) {
|
||||
convolve_internal(imageData,
|
||||
make_unsharp_kernel(
|
||||
this.getFilterSoftBlurSize(),
|
||||
this.getFilterSoftBlurAmount()
|
||||
)
|
||||
);
|
||||
};
|
||||
|
||||
/**
|
||||
* soft blur
|
||||
* @function
|
||||
* @memberof Kinetic.Filters
|
||||
* @param {Object} imageData
|
||||
*/
|
||||
Kinetic.Filters.SoftBlur = function(imageData) {
|
||||
convolve_internal(imageData,
|
||||
make_soft_blur_kernel(
|
||||
this.getFilterSoftBlurSize(),
|
||||
this.getFilterSoftBlurAmount()
|
||||
)
|
||||
);
|
||||
};
|
||||
|
||||
Kinetic.Node.addFilterGetterSetter(Kinetic.Image, 'filterSoftBlurAmount', 60);
|
||||
/**
|
||||
* get the soft blur amount
|
||||
* @name getFilterSoftBlurAmount
|
||||
* @method
|
||||
* @memberof Kinetic.Image.prototype
|
||||
*/
|
||||
|
||||
/**
|
||||
* set the soft blur amount. 0 = no blur, 100 = full blur
|
||||
* @name setFilterSoftBlurAmount
|
||||
* @method
|
||||
* @memberof Kinetic.Image.prototype
|
||||
*/
|
||||
|
||||
Kinetic.Node.addFilterGetterSetter(Kinetic.Image, 'filterSoftBlurSize', 3);
|
||||
/**
|
||||
* get the soft blur size
|
||||
* @name getFilterSoftBlurSize
|
||||
* @method
|
||||
* @memberof Kinetic.Image.prototype
|
||||
*/
|
||||
|
||||
/**
|
||||
* set the soft blur size in number of pixels
|
||||
* @name setFilterSoftBlurSize
|
||||
* @method
|
||||
* @memberof Kinetic.Image.prototype
|
||||
*/
|
||||
|
||||
/**
|
||||
* sharpening filter, makes edges more pointed
|
||||
* @function
|
||||
* @memberof Kinetic.Filters
|
||||
* @param {Object} imageData
|
||||
*/
|
||||
Kinetic.Filters.Sharpen = function(imageData) {
|
||||
convolve_internal(imageData,[
|
||||
[ 0,-2, 0],
|
||||
[-2, 9,-2],
|
||||
[ 0,-2, 0]
|
||||
]);
|
||||
};
|
||||
|
||||
/**
|
||||
* mean removal
|
||||
* @function
|
||||
* @memberof Kinetic.Filters
|
||||
* @param {Object} imageData
|
||||
*/
|
||||
Kinetic.Filters.RemoveMean = function(imageData) {
|
||||
convolve_internal(imageData,[
|
||||
[-1,-1,-1],
|
||||
[-1, 9,-1],
|
||||
[-1,-1,-1]
|
||||
]);
|
||||
};
|
||||
|
||||
/**
|
||||
* emboss
|
||||
* @function
|
||||
* @memberof Kinetic.Filters
|
||||
* @param {Object} imageData
|
||||
*/
|
||||
Kinetic.Filters.Emboss = function(imageData) {
|
||||
convolve_internal(imageData,[
|
||||
[-2,-1, 0],
|
||||
[-1, 1, 1],
|
||||
[ 0, 1, 2]
|
||||
]);
|
||||
};
|
||||
|
||||
/**
|
||||
* detects horizontal edges
|
||||
* @function
|
||||
* @memberof Kinetic.Filters
|
||||
* @param {Object} imageData
|
||||
*/
|
||||
Kinetic.Filters.DetectHorizontalEdges = function(imageData) {
|
||||
convolve_internal(imageData,[
|
||||
[-1,-1,-1],
|
||||
[ 2, 2, 2],
|
||||
[-1,-1,-1]
|
||||
]);
|
||||
};
|
||||
|
||||
/**
|
||||
* detects vertical edges
|
||||
* @function
|
||||
* @memberof Kinetic.Filters
|
||||
* @param {Object} imageData
|
||||
*/
|
||||
Kinetic.Filters.DetectVerticalEdges = function(imageData) {
|
||||
convolve_internal(imageData,[
|
||||
[-1, 2,-1],
|
||||
[-1, 2,-1],
|
||||
[-1, 2,-1]
|
||||
]);
|
||||
};
|
||||
|
||||
/**
|
||||
* detects 45* angle edges
|
||||
* @function
|
||||
* @memberof Kinetic.Filters
|
||||
* @param {Object} imageData
|
||||
*/
|
||||
Kinetic.Filters.DetectDiagonal45Edges = function(imageData) {
|
||||
convolve_internal(imageData,[
|
||||
[-1,-1, 2],
|
||||
[-1, 2,-1],
|
||||
[ 2,-1,-1]
|
||||
]);
|
||||
};
|
||||
|
||||
/**
|
||||
* detects 135* angle edges
|
||||
* @function
|
||||
* @memberof Kinetic.Filters
|
||||
* @param {Object} imageData
|
||||
*/
|
||||
Kinetic.Filters.DetectDiagonal135Edges = function(imageData) {
|
||||
convolve_internal(imageData,[
|
||||
[ 2,-1,-1],
|
||||
[-1, 2,-1],
|
||||
[-1,-1, 2]
|
||||
]);
|
||||
};
|
||||
|
||||
/**
|
||||
* detects edges
|
||||
* @function
|
||||
* @memberof Kinetic.Filters
|
||||
* @param {Object} imageData
|
||||
*/
|
||||
Kinetic.Filters.DetectEdges = function(imageData) {
|
||||
convolve_internal(imageData,[
|
||||
[-1,-1,-1],
|
||||
[-1, 8,-1],
|
||||
[-1,-1,-1]
|
||||
]);
|
||||
};
|
||||
|
||||
/**
|
||||
* makes image lighter
|
||||
* @function
|
||||
* @memberof Kinetic.Filters
|
||||
* @param {Object} imageData
|
||||
*/
|
||||
Kinetic.Filters.Lighten = function(imageData) {
|
||||
convolve_internal(imageData,[
|
||||
[ 0, 0, 0],
|
||||
[ 0,1.2, 0],
|
||||
[ 0, 0, 0]
|
||||
]);
|
||||
};
|
||||
|
||||
/**
|
||||
* makes image darker
|
||||
* @function
|
||||
* @memberof Kinetic.Filters
|
||||
* @param {Object} imageData
|
||||
*/
|
||||
Kinetic.Filters.Darken = function(imageData) {
|
||||
convolve_internal(imageData,[
|
||||
[ 0, 0, 0],
|
||||
[ 0,0.8, 0],
|
||||
[ 0, 0, 0]
|
||||
]);
|
||||
};
|
||||
|
||||
})();
|
||||
@@ -5,11 +5,11 @@
|
||||
var d = [];
|
||||
d.push(idata.data[idx++], idata.data[idx++], idata.data[idx++], idata.data[idx++]);
|
||||
return d;
|
||||
};
|
||||
}
|
||||
|
||||
function rgbDistance(p1, p2) {
|
||||
return Math.sqrt(Math.pow(p1[0] - p2[0], 2) + Math.pow(p1[1] - p2[1], 2) + Math.pow(p1[2] - p2[2], 2));
|
||||
};
|
||||
}
|
||||
|
||||
function rgbMean(pTab) {
|
||||
var m = [0, 0, 0];
|
||||
@@ -25,7 +25,7 @@
|
||||
m[2] /= pTab.length;
|
||||
|
||||
return m;
|
||||
};
|
||||
}
|
||||
|
||||
function backgroundMask(idata, threshold) {
|
||||
var rgbv_no = pixelAt(idata, 0, 0);
|
||||
@@ -49,13 +49,13 @@
|
||||
|
||||
return mask;
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
function applyMask(idata, mask) {
|
||||
for (var i = 0; i < idata.width * idata.height; i++) {
|
||||
idata.data[4 * i + 3] = mask[i];
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
function erodeMask(mask, sw, sh) {
|
||||
|
||||
@@ -89,7 +89,7 @@
|
||||
}
|
||||
|
||||
return maskResult;
|
||||
};
|
||||
}
|
||||
|
||||
function dilateMask(mask, sw, sh) {
|
||||
|
||||
@@ -123,7 +123,7 @@
|
||||
}
|
||||
|
||||
return maskResult;
|
||||
};
|
||||
}
|
||||
|
||||
function smoothEdgeMask(mask, sw, sh) {
|
||||
|
||||
|
||||
@@ -90,11 +90,13 @@
|
||||
_addListeners: function(context) {
|
||||
var that = this,
|
||||
n;
|
||||
var func = function(){
|
||||
that._sync();
|
||||
};
|
||||
|
||||
// update text data for certain attr changes
|
||||
for(n = 0; n < attrChangeListLen; n++) {
|
||||
context.on(ATTR_CHANGE_LIST[n] + CHANGE_KINETIC, function() {
|
||||
that._sync();
|
||||
});
|
||||
context.on(ATTR_CHANGE_LIST[n] + CHANGE_KINETIC, func);
|
||||
}
|
||||
},
|
||||
getWidth: function() {
|
||||
|
||||
@@ -235,7 +235,7 @@
|
||||
// init context point
|
||||
var cpx = 0;
|
||||
var cpy = 0;
|
||||
for(var n = 1; n < arr.length; n++) {
|
||||
for( n = 1; n < arr.length; n++) {
|
||||
var str = arr[n];
|
||||
var c = str.charAt(0);
|
||||
str = str.slice(1);
|
||||
@@ -259,6 +259,10 @@
|
||||
var cmd = null;
|
||||
var points = [];
|
||||
var startX = cpx, startY = cpy;
|
||||
// Move var from within the switch to up here (jshint)
|
||||
var prevCmd, ctlPtx, ctlPty; // Ss, Tt
|
||||
var rx, ry, psi, fa, fs, x1, y1; // Aa
|
||||
|
||||
|
||||
// convert l, H, h, V, and v to L
|
||||
switch (c) {
|
||||
@@ -328,8 +332,8 @@
|
||||
points.push(cpx, cpy);
|
||||
break;
|
||||
case 'S':
|
||||
var ctlPtx = cpx, ctlPty = cpy;
|
||||
var prevCmd = ca[ca.length - 1];
|
||||
ctlPtx = cpx, ctlPty = cpy;
|
||||
prevCmd = ca[ca.length - 1];
|
||||
if(prevCmd.command === 'C') {
|
||||
ctlPtx = cpx + (cpx - prevCmd.points[2]);
|
||||
ctlPty = cpy + (cpy - prevCmd.points[3]);
|
||||
@@ -341,8 +345,8 @@
|
||||
points.push(cpx, cpy);
|
||||
break;
|
||||
case 's':
|
||||
var ctlPtx = cpx, ctlPty = cpy;
|
||||
var prevCmd = ca[ca.length - 1];
|
||||
ctlPtx = cpx, ctlPty = cpy;
|
||||
prevCmd = ca[ca.length - 1];
|
||||
if(prevCmd.command === 'C') {
|
||||
ctlPtx = cpx + (cpx - prevCmd.points[2]);
|
||||
ctlPty = cpy + (cpy - prevCmd.points[3]);
|
||||
@@ -367,8 +371,8 @@
|
||||
points.push(cpx, cpy);
|
||||
break;
|
||||
case 'T':
|
||||
var ctlPtx = cpx, ctlPty = cpy;
|
||||
var prevCmd = ca[ca.length - 1];
|
||||
ctlPtx = cpx, ctlPty = cpy;
|
||||
prevCmd = ca[ca.length - 1];
|
||||
if(prevCmd.command === 'Q') {
|
||||
ctlPtx = cpx + (cpx - prevCmd.points[0]);
|
||||
ctlPty = cpy + (cpy - prevCmd.points[1]);
|
||||
@@ -379,8 +383,8 @@
|
||||
points.push(ctlPtx, ctlPty, cpx, cpy);
|
||||
break;
|
||||
case 't':
|
||||
var ctlPtx = cpx, ctlPty = cpy;
|
||||
var prevCmd = ca[ca.length - 1];
|
||||
ctlPtx = cpx, ctlPty = cpy;
|
||||
prevCmd = ca[ca.length - 1];
|
||||
if(prevCmd.command === 'Q') {
|
||||
ctlPtx = cpx + (cpx - prevCmd.points[0]);
|
||||
ctlPty = cpy + (cpy - prevCmd.points[1]);
|
||||
@@ -391,14 +395,14 @@
|
||||
points.push(ctlPtx, ctlPty, cpx, cpy);
|
||||
break;
|
||||
case 'A':
|
||||
var rx = p.shift(), ry = p.shift(), psi = p.shift(), fa = p.shift(), fs = p.shift();
|
||||
var x1 = cpx, y1 = cpy; cpx = p.shift(), cpy = p.shift();
|
||||
rx = p.shift(), ry = p.shift(), psi = p.shift(), fa = p.shift(), fs = p.shift();
|
||||
x1 = cpx, y1 = cpy; cpx = p.shift(), cpy = p.shift();
|
||||
cmd = 'A';
|
||||
points = this.convertEndpointToCenterParameterization(x1, y1, cpx, cpy, fa, fs, rx, ry, psi);
|
||||
break;
|
||||
case 'a':
|
||||
var rx = p.shift(), ry = p.shift(), psi = p.shift(), fa = p.shift(), fs = p.shift();
|
||||
var x1 = cpx, y1 = cpy; cpx += p.shift(), cpy += p.shift();
|
||||
rx = p.shift(), ry = p.shift(), psi = p.shift(), fa = p.shift(), fs = p.shift();
|
||||
x1 = cpx, y1 = cpy; cpx += p.shift(), cpy += p.shift();
|
||||
cmd = 'A';
|
||||
points = this.convertEndpointToCenterParameterization(x1, y1, cpx, cpy, fa, fs, rx, ry, psi);
|
||||
break;
|
||||
|
||||
@@ -1432,6 +1432,286 @@ Test.Modules.IMAGE = {
|
||||
};
|
||||
imageObj.src = '../assets/darth-vader.jpg';
|
||||
},
|
||||
'colorizing filter': function(containerId) {
|
||||
var imageObj = new Image();
|
||||
imageObj.onload = function() {
|
||||
var stage = new Kinetic.Stage({
|
||||
container: containerId,
|
||||
width: 578,
|
||||
height: 200
|
||||
});
|
||||
var layer = new Kinetic.Layer();
|
||||
darth = new Kinetic.Image({
|
||||
x: 10,
|
||||
y: 10,
|
||||
image: imageObj,
|
||||
draggable: true
|
||||
});
|
||||
|
||||
layer.add(darth);
|
||||
stage.add(layer);
|
||||
|
||||
darth.setFilter(Kinetic.Filters.Colorize);
|
||||
darth.setFilterColorizeColor([255,0,128]);
|
||||
layer.draw();
|
||||
var dataUrl = layer.toDataURL();
|
||||
//console.log(dataUrl);
|
||||
testDataUrl(dataUrl, 'colorizing filter', 'problem with colorizing filter.');
|
||||
};
|
||||
imageObj.src = '../assets/darth-vader.jpg';
|
||||
},
|
||||
'shift hue filter': function(containerId) {
|
||||
var imageObj = new Image();
|
||||
imageObj.onload = function() {
|
||||
var stage = new Kinetic.Stage({
|
||||
container: containerId,
|
||||
width: 578,
|
||||
height: 200
|
||||
});
|
||||
var layer = new Kinetic.Layer();
|
||||
darth = new Kinetic.Image({
|
||||
x: 10,
|
||||
y: 10,
|
||||
image: imageObj,
|
||||
draggable: true
|
||||
});
|
||||
|
||||
layer.add(darth);
|
||||
stage.add(layer);
|
||||
|
||||
darth.setFilter(Kinetic.Filters.ShiftHue);
|
||||
darth.setFilterHueShiftDeg(90);
|
||||
layer.draw();
|
||||
var dataUrl = layer.toDataURL();
|
||||
//console.log(dataUrl);
|
||||
testDataUrl(dataUrl, 'shift hue filter', 'problem with hue shifting filter.');
|
||||
};
|
||||
imageObj.src = '../assets/lion.png';
|
||||
},
|
||||
'unsharp mask filter': function(containerId) {
|
||||
var imageObj = new Image();
|
||||
imageObj.onload = function() {
|
||||
var stage = new Kinetic.Stage({
|
||||
container: containerId,
|
||||
width: 578,
|
||||
height: 200
|
||||
});
|
||||
var layer = new Kinetic.Layer();
|
||||
darth = new Kinetic.Image({
|
||||
x: 10,
|
||||
y: 10,
|
||||
image: imageObj,
|
||||
draggable: true
|
||||
});
|
||||
|
||||
layer.add(darth);
|
||||
stage.add(layer);
|
||||
darth.setFilter(Kinetic.Filters.UnsharpMask);
|
||||
darth.setFilterSoftBlurAmount(90);
|
||||
darth.setFilterSoftBlurSize(7);
|
||||
layer.draw();
|
||||
var dataUrl = layer.toDataURL();
|
||||
//console.log(dataUrl);
|
||||
testDataUrl(dataUrl, 'unsharp mask filter', 'problem with unsharp mask filter.');
|
||||
};
|
||||
imageObj.src = '../assets/darth-vader.jpg';
|
||||
//imageObj.src = '../assets/lion.png';
|
||||
},
|
||||
'soft blur filter': function(containerId) {
|
||||
var imageObj = new Image();
|
||||
imageObj.onload = function() {
|
||||
var stage = new Kinetic.Stage({
|
||||
container: containerId,
|
||||
width: 578,
|
||||
height: 200
|
||||
});
|
||||
var layer = new Kinetic.Layer();
|
||||
darth = new Kinetic.Image({
|
||||
x: 10,
|
||||
y: 10,
|
||||
image: imageObj,
|
||||
draggable: true
|
||||
});
|
||||
|
||||
layer.add(darth);
|
||||
stage.add(layer);
|
||||
darth.setFilter(Kinetic.Filters.SoftBlur);
|
||||
darth.setFilterSoftBlurAmount(10);
|
||||
darth.setFilterSoftBlurSize(7);
|
||||
layer.draw();
|
||||
var dataUrl = layer.toDataURL();
|
||||
//console.log(dataUrl);
|
||||
testDataUrl(dataUrl, 'soft blur filter', 'problem with soft blur filter.');
|
||||
};
|
||||
imageObj.src = '../assets/darth-vader.jpg';
|
||||
//imageObj.src = '../assets/lion.png';
|
||||
},
|
||||
'sharpen filter': function(containerId) {
|
||||
var imageObj = new Image();
|
||||
imageObj.onload = function() {
|
||||
var stage = new Kinetic.Stage({
|
||||
container: containerId,
|
||||
width: 578,
|
||||
height: 200
|
||||
});
|
||||
var layer = new Kinetic.Layer();
|
||||
darth = new Kinetic.Image({
|
||||
x: 10,
|
||||
y: 10,
|
||||
image: imageObj,
|
||||
draggable: true
|
||||
});
|
||||
|
||||
layer.add(darth);
|
||||
stage.add(layer);
|
||||
darth.setFilter(Kinetic.Filters.Sharpen);
|
||||
layer.draw();
|
||||
var dataUrl = layer.toDataURL();
|
||||
//console.log(dataUrl);
|
||||
testDataUrl(dataUrl, 'sharpen filter', 'problem with sharpen filter.');
|
||||
};
|
||||
imageObj.src = '../assets/darth-vader.jpg';
|
||||
//imageObj.src = '../assets/lion.png';
|
||||
},
|
||||
'remove mean filter': function(containerId) {
|
||||
var imageObj = new Image();
|
||||
imageObj.onload = function() {
|
||||
var stage = new Kinetic.Stage({
|
||||
container: containerId,
|
||||
width: 578,
|
||||
height: 200
|
||||
});
|
||||
var layer = new Kinetic.Layer();
|
||||
darth = new Kinetic.Image({
|
||||
x: 10,
|
||||
y: 10,
|
||||
image: imageObj,
|
||||
draggable: true
|
||||
});
|
||||
|
||||
layer.add(darth);
|
||||
stage.add(layer);
|
||||
darth.setFilter(Kinetic.Filters.RemoveMean);
|
||||
layer.draw();
|
||||
var dataUrl = layer.toDataURL();
|
||||
//console.log(dataUrl);
|
||||
testDataUrl(dataUrl, 'remove mean filter', 'problem with remove mean filter.');
|
||||
};
|
||||
imageObj.src = '../assets/darth-vader.jpg';
|
||||
//imageObj.src = '../assets/lion.png';
|
||||
},
|
||||
'emboss filter': function(containerId) {
|
||||
var imageObj = new Image();
|
||||
imageObj.onload = function() {
|
||||
var stage = new Kinetic.Stage({
|
||||
container: containerId,
|
||||
width: 578,
|
||||
height: 200
|
||||
});
|
||||
var layer = new Kinetic.Layer();
|
||||
darth = new Kinetic.Image({
|
||||
x: 10,
|
||||
y: 10,
|
||||
image: imageObj,
|
||||
draggable: true
|
||||
});
|
||||
|
||||
layer.add(darth);
|
||||
stage.add(layer);
|
||||
darth.setFilter(Kinetic.Filters.Emboss);
|
||||
layer.draw();
|
||||
var dataUrl = layer.toDataURL();
|
||||
//console.log(dataUrl);
|
||||
testDataUrl(dataUrl, 'emboss filter', 'problem with emboss filter.');
|
||||
};
|
||||
imageObj.src = '../assets/darth-vader.jpg';
|
||||
//imageObj.src = '../assets/lion.png';
|
||||
},
|
||||
'edge detection filter': function(containerId) {
|
||||
var imageObj = new Image();
|
||||
imageObj.onload = function() {
|
||||
var stage = new Kinetic.Stage({
|
||||
container: containerId,
|
||||
width: 578,
|
||||
height: 200
|
||||
});
|
||||
var layer = new Kinetic.Layer();
|
||||
darth = new Kinetic.Image({
|
||||
x: 10,
|
||||
y: 10,
|
||||
image: imageObj,
|
||||
draggable: true
|
||||
});
|
||||
|
||||
layer.add(darth);
|
||||
stage.add(layer);
|
||||
//darth.setFilter(Kinetic.Filters.DetectHorizontalEdge);
|
||||
//darth.setFilter(Kinetic.Filters.DetectVerticalEdge);
|
||||
//darth.setFilter(Kinetic.Filters.DetectDiagonal45Edge);
|
||||
//darth.setFilter(Kinetic.Filters.DetectDiagonal135Edge);
|
||||
darth.setFilter(Kinetic.Filters.DetectEdges);
|
||||
layer.draw();
|
||||
var dataUrl = layer.toDataURL();
|
||||
//console.log(dataUrl);
|
||||
testDataUrl(dataUrl, 'edge detection filter', 'problem with edge detection filter.');
|
||||
};
|
||||
imageObj.src = '../assets/darth-vader.jpg';
|
||||
//imageObj.src = '../assets/lion.png';
|
||||
},
|
||||
'lighten filter': function(containerId) {
|
||||
var imageObj = new Image();
|
||||
imageObj.onload = function() {
|
||||
var stage = new Kinetic.Stage({
|
||||
container: containerId,
|
||||
width: 578,
|
||||
height: 200
|
||||
});
|
||||
var layer = new Kinetic.Layer();
|
||||
darth = new Kinetic.Image({
|
||||
x: 10,
|
||||
y: 10,
|
||||
image: imageObj,
|
||||
draggable: true
|
||||
});
|
||||
|
||||
layer.add(darth);
|
||||
stage.add(layer);
|
||||
darth.setFilter(Kinetic.Filters.Lighten);
|
||||
layer.draw();
|
||||
var dataUrl = layer.toDataURL();
|
||||
//console.log(dataUrl);
|
||||
testDataUrl(dataUrl, 'lighten filter', 'problem with lighten filter.');
|
||||
};
|
||||
imageObj.src = '../assets/darth-vader.jpg';
|
||||
//imageObj.src = '../assets/lion.png';
|
||||
},
|
||||
'darken filter': function(containerId) {
|
||||
var imageObj = new Image();
|
||||
imageObj.onload = function() {
|
||||
var stage = new Kinetic.Stage({
|
||||
container: containerId,
|
||||
width: 578,
|
||||
height: 200
|
||||
});
|
||||
var layer = new Kinetic.Layer();
|
||||
darth = new Kinetic.Image({
|
||||
x: 10,
|
||||
y: 10,
|
||||
image: imageObj,
|
||||
draggable: true
|
||||
});
|
||||
|
||||
layer.add(darth);
|
||||
stage.add(layer);
|
||||
darth.setFilter(Kinetic.Filters.Darken);
|
||||
layer.draw();
|
||||
var dataUrl = layer.toDataURL();
|
||||
//console.log(dataUrl);
|
||||
testDataUrl(dataUrl, 'darken filter', 'problem with darken filter.');
|
||||
};
|
||||
imageObj.src = '../assets/darth-vader.jpg';
|
||||
//imageObj.src = '../assets/lion.png';
|
||||
},
|
||||
'filter transformed image': function(containerId) {
|
||||
var imageObj = new Image();
|
||||
imageObj.onload = function() {
|
||||
|
||||
Reference in New Issue
Block a user