[GCI] Standardised Edge Detect module code comments

src/modules/EdgeDetect/EdgeUtils.js

@@ -1,6 +1,8 @@
-// Define kernels for the sobel filter
+// Read More: https://en.wikipedia.org/wiki/Canny_edge_detector
 
 const pixelSetter = require('../../util/pixelSetter.js');
+
+// Define kernels for the sobel filter.
 const kernelx = [
     [-1, 0, 1],
     [-2, 0, 2],
@@ -21,7 +23,7 @@ module.exports = function(pixels, highThresholdRatio, lowThresholdRatio, useHyst
     grads.push([]);
     angles.push([]);
     for (var y = 0; y < pixels.shape[1]; y++) {
-      var result = sobelFilter(
+      var result = sobelFilter( // Convolves the sobel filter on every pixel
         pixels,
         x,
         y
@@ -32,28 +34,47 @@ module.exports = function(pixels, highThresholdRatio, lowThresholdRatio, useHyst
       angles.slice(-1)[0].push(result.angle);
     }
   }
-  nonMaxSupress(pixels, grads, angles);
-  doubleThreshold(pixels, highThresholdRatio, lowThresholdRatio, grads, strongEdgePixels, weakEdgePixels);
-  if(useHysteresis.toLowerCase() == 'true') hysteresis(strongEdgePixels, weakEdgePixels);
+  nonMaxSupress(pixels, grads, angles); // Non Maximum Suppression: Filter fine edges.
+  doubleThreshold(pixels, highThresholdRatio, lowThresholdRatio, grads, strongEdgePixels, weakEdgePixels); // Double Threshold: Categorizes edges into strong and weak edges based on two thresholds.
+  if(useHysteresis.toLowerCase() == 'true') hysteresis(strongEdgePixels, weakEdgePixels); // Optional Hysteresis (very slow) to minimize edges generated due to noise.
 
-  strongEdgePixels.forEach(pixel => preserve(pixels, pixel));
-  weakEdgePixels.forEach(pixel => supress(pixels, pixel));
-  pixelsToBeSupressed.forEach(pixel => supress(pixels, pixel));
+  strongEdgePixels.forEach(pixel => preserve(pixels, pixel)); // Makes the strong edges White.
+  weakEdgePixels.forEach(pixel => supress(pixels, pixel)); // Makes the weak edges black(bg color) after filtering.
+  pixelsToBeSupressed.forEach(pixel => supress(pixels, pixel)); // Makes the rest of the image black.
 
   return pixels;
 };
 
+/**
+ * @method supress
+ * @description Supresses (fills with background color) the specified (non-edge)pixel.
+ * @param {Object} pixels ndarry of pixels
+ * @param {Float32Array} pixel Pixel coordinates
+ * @returns {Null}
+ */
 function supress(pixels, pixel) {
   pixelSetter(pixel[0], pixel[1], [0, 0, 0, 255], pixels);
-
 }
 
+/**
+ * @method preserve
+ * @description Preserve the specified pixel(of an edge).
+ * @param {Object} pixels ndarray of pixels
+ * @param {*} pixel Pixel coordinates
+ * @returns {Null}
+ */
 function preserve(pixels, pixel) {
   pixelSetter(pixel[0], pixel[1], [255, 255, 255, 255], pixels);
-
 }
 
-// sobelFilter function that convolves sobel kernel over every pixel
+/**
+ * @method sobelFiler
+ * @description Runs the sobel filter on the specified and neighbouring pixels.
+ * @param {Object} pixels ndarray of pixels
+ * @param {Number} x x-coordinate of the pixel
+ * @param {Number} y y-coordinate of the pixel
+ * @returns {Object} Object containing the gradient and angle.
+ */
 function sobelFilter(pixels, x, y) {
   let val = pixels.get(x, y, 0),
     gradX = 0.0,
@@ -65,8 +86,8 @@ function sobelFilter(pixels, x, y) {
       let xn = x + a - 1,
         yn = y + b - 1;
 
-      if (isOutOfBounds(pixels, xn, yn)) {
-        gradX += pixels.get(xn + 1, yn + 1, 0) * kernelx[a][b];
+      if (isOutOfBounds(pixels, xn, yn)) { // Fallback for coordinates which lie outside the image.
+        gradX += pixels.get(xn + 1, yn + 1, 0) * kernelx[a][b]; // Fallback to nearest pixel
         gradY += pixels.get(xn + 1, yn + 1, 0) * kernely[a][b];
       }
       else {
@@ -84,6 +105,12 @@ function sobelFilter(pixels, x, y) {
   };
 }
 
+/**
+ * @method categorizeAngle
+ * @description Categorizes the given angle into 4 catagories according to the Category Map given below.
+ * @param {Number} angle Angle in degrees
+ * @returns {Number} Category number of the given angle
+ */
 function categorizeAngle(angle){
   if ((angle >= -22.5 && angle <= 22.5) || (angle < -157.5 && angle >= -180)) return 1;
   else if ((angle >= 22.5 && angle <= 67.5) || (angle < -112.5 && angle >= -157.5)) return 2;
@@ -98,17 +125,25 @@ function categorizeAngle(angle){
   */
 }
 
+/**
+ * @method isOutOfBounds
+ * @description Checks whether the given coordinates lie outside the bounds of the image. Used for error handling in convolution.
+ * @param {Object} pixels ndarray of pixels
+ * @param {*} x x-coordinate of the pixel
+ * @param {*} y y-coordinate of the pixel
+ * @returns {Boolean} True if the given coordinates are out of bounds.
+ */
 function isOutOfBounds(pixels, x, y){
   return ((x < 0) || (y < 0) || (x >= pixels.shape[0]) || (y >= pixels.shape[1]));
 }
 
-const removeElem = (arr = [], elem) => {
+const removeElem = (arr = [], elem) => { // Removes the specified element from the given array.
   return arr = arr.filter((arrelem) => {
     return arrelem !== elem;
   });
 };
 
-// Non Maximum Supression without interpolation
+// Non Maximum Supression without interpolation.
 function nonMaxSupress(pixels, grads, angles) {
   angles = angles.map((arr) => arr.map(convertToDegrees));
 
@@ -118,7 +153,7 @@ function nonMaxSupress(pixels, grads, angles) {
       let angleCategory = categorizeAngle(angles[x][y]);
 
       if (!isOutOfBounds(pixels, x - 1, y - 1) && !isOutOfBounds(pixels, x + 1, y + 1)){
-        switch (angleCategory){
+        switch (angleCategory){ // Non maximum suppression according to angle category
         case 1:
           if (!((grads[x][y] >= grads[x][y + 1]) && (grads[x][y] >= grads[x][y - 1]))) {
             pixelsToBeSupressed.push([x, y]);
@@ -147,17 +182,24 @@ function nonMaxSupress(pixels, grads, angles) {
     }
   }
 }
-// Converts radians to degrees
+
+
+/**
+ * @method convertToDegrees
+ * @description Converts the given angle(in radians) to degrees.
+ * @param {Number} radians Angle in radians
+ * @returns {Number} Angle in degrees
+ */
 var convertToDegrees = radians => (radians * 180) / Math.PI;
 
-// Finds the max value in a 2d array like grads
+// Finds the max value in a 2d array like grads.
 var findMaxInMatrix = arr => Math.max(...arr.map(el => el.map(val => val ? val : 0)).map(el => Math.max(...el)));
 
-// Applies the double threshold to the image
+// Applies the double threshold to the image.
 function doubleThreshold(pixels, highThresholdRatio, lowThresholdRatio, grads, strongEdgePixels, weakEdgePixels) {
 
-  const highThreshold = findMaxInMatrix(grads) * highThresholdRatio,
-    lowThreshold = highThreshold * lowThresholdRatio;
+  const highThreshold = findMaxInMatrix(grads) * highThresholdRatio, // High Threshold relative to the strongest edge
+    lowThreshold = highThreshold * lowThresholdRatio; // Low threshold relative to high threshold
 
   for (let x = 0; x < pixels.shape[0]; x++) {
     for (let y = 0; y < pixels.shape[1]; y++) {
@@ -178,6 +220,12 @@ function doubleThreshold(pixels, highThresholdRatio, lowThresholdRatio, grads, s
   }
 }
 
+/**
+ * @method hysteresis
+ * @description Filters weak edge pixels that are not connected to a strong edge pixel.
+ * @param {Float32array} strongEdgePixels 2D array of strong edge pixel coordinates
+ * @param {*} weakEdgePixels 2D array of weak edge pixel coordinated
+ */
 function hysteresis(strongEdgePixels, weakEdgePixels){
   strongEdgePixels.forEach(pixel => {
     let x = pixel[0],

src/modules/EdgeDetect/Module.js

@@ -1,5 +1,7 @@
-/*
+/**
 * Detect Edges in an Image
+* Uses Canny method for the same
+* Read more: https://en.wikipedia.org/wiki/Canny_edge_detector
 */
 module.exports = function edgeDetect(options, UI) {
 
@@ -19,17 +21,17 @@ module.exports = function edgeDetect(options, UI) {
 
     var step = this;
 
-    // Blur the image
+    // Blur the image.
     const internalSequencer = ImageSequencer({ inBrowser: false, ui: false });
     return internalSequencer.loadImage(input.src, function() {
-      internalSequencer.importJSON([{ 'name': 'blur', 'options': { blur: options.blur } }]);
+      internalSequencer.importJSON([{ 'name': 'blur', 'options': { blur: options.blur } }]); // Blurs the image before detecting edges to reduce noise.
       return internalSequencer.run(function onCallback(internalOutput) {
         require('get-pixels')(internalOutput, function(err, blurPixels) {
           if (err) {
             return;
           }
 
-          // Extra Manipulation function used as an enveloper for applying gaussian blur and Convolution
+          // Extra Manipulation function used as an enveloper for applying gaussian blur and Convolution.
           function changePixel(r, g, b, a) {
             return [(r + g + b) / 3, (r + g + b) / 3, (r + g + b) / 3, a];
           }
@@ -64,4 +66,4 @@ module.exports = function edgeDetect(options, UI) {
     output: output,
     UI: UI
   };
-};
+};

src/modules/EdgeDetect/info.json

@@ -1,6 +1,6 @@
 {
     "name": "edge-detect",
-    "description": "This module detects edges using the Canny method, which first Gaussian blurs the image to reduce noise (amount of blur configurable in settings as `options.blur`), then applies a number of steps to highlight edges, resulting in a greyscale image where the brighter the pixel, the stronger the detected edge.<a href='https://en.wikipedia.org/wiki/Canny_edge_detector'> Read more. </a>",
+    "description": "Edge Detect module detects edges using the Canny method, which first blurs the image to reduce noise (amount of blur configurable in settings as `options.blur`), then applies a number of steps to highlight edges, resulting in a greyscale image where the brighter the pixel, the stronger the detected edge. [Read more](https://en.wikipedia.org/wiki/Canny_edge_detector)",
     "inputs": {
         "blur": {
             "type": "float",