removing applet folders from svn

java/examples/Topics/Image Processing/EdgeDetection/applet/EdgeDetection.java

@@ -1,60 +0,0 @@
-import processing.core.*; 
-
-import java.applet.*; 
-import java.awt.*; 
-import java.awt.image.*; 
-import java.awt.event.*; 
-import java.io.*; 
-import java.net.*; 
-import java.text.*; 
-import java.util.*; 
-import java.util.zip.*; 
-import java.util.regex.*; 
-
-public class EdgeDetection extends PApplet {
-  public void setup() {/**
- * Edge Detection. 
- * 
- * Exposing areas of contrast within an image 
- * by processing it through a high-pass filter. 
- */
-
-float[][] kernel = { { -1, -1, -1 },
-                     { -1,  9, -1 },
-                     { -1, -1, -1 } };
-  
-size(200, 200);
-PImage img = loadImage("house.jpg"); // Load the original image
-image(img, 0, 0); // Displays the image from point (0,0) 
-img.loadPixels();
-// Create an opaque image of the same size as the original
-PImage edgeImg = createImage(img.width, img.height, RGB);
-// Loop through every pixel in the image.
-for (int y = 1; y < img.height-1; y++) { // Skip top and bottom edges
-  for (int x = 1; x < img.width-1; x++) { // Skip left and right edges
-    float sum = 0; // Kernel sum for this pixel
-    for (int ky = -1; ky <= 1; ky++) {
-      for (int kx = -1; kx <= 1; kx++) {
-        // Calculate the adjacent pixel for this kernel point
-        int pos = (y + ky)*width + (x + kx);
-        // Image is grayscale, red/green/blue are identical
-        float val = red(img.pixels[pos]);
-        // Multiply adjacent pixels based on the kernel values
-        sum += kernel[ky+1][kx+1] * val;
-      }
-    }
-    // For this pixel in the new image, set the gray value
-    // based on the sum from the kernel
-    edgeImg.pixels[y*img.width + x] = color(sum);
-  }
-}
-// State that there are changes to edgeImg.pixels[]
-edgeImg.updatePixels();
-image(edgeImg, 100, 0); // Draw the new image
-
-  noLoop();
-} 
-  static public void main(String args[]) {
-    PApplet.main(new String[] { "EdgeDetection" });
-  }
-}

java/examples/Topics/Image Processing/EdgeDetection/applet/EdgeDetection.pde

@@ -1,39 +0,0 @@
-/**
- * Edge Detection. 
- * 
- * Exposing areas of contrast within an image 
- * by processing it through a high-pass filter. 
- */
-
-float[][] kernel = { { -1, -1, -1 },
-                     { -1,  9, -1 },
-                     { -1, -1, -1 } };
-  
-size(200, 200);
-PImage img = loadImage("house.jpg"); // Load the original image
-image(img, 0, 0); // Displays the image from point (0,0) 
-img.loadPixels();
-// Create an opaque image of the same size as the original
-PImage edgeImg = createImage(img.width, img.height, RGB);
-// Loop through every pixel in the image.
-for (int y = 1; y < img.height-1; y++) { // Skip top and bottom edges
-  for (int x = 1; x < img.width-1; x++) { // Skip left and right edges
-    float sum = 0; // Kernel sum for this pixel
-    for (int ky = -1; ky <= 1; ky++) {
-      for (int kx = -1; kx <= 1; kx++) {
-        // Calculate the adjacent pixel for this kernel point
-        int pos = (y + ky)*width + (x + kx);
-        // Image is grayscale, red/green/blue are identical
-        float val = red(img.pixels[pos]);
-        // Multiply adjacent pixels based on the kernel values
-        sum += kernel[ky+1][kx+1] * val;
-      }
-    }
-    // For this pixel in the new image, set the gray value
-    // based on the sum from the kernel
-    edgeImg.pixels[y*img.width + x] = color(sum);
-  }
-}
-// State that there are changes to edgeImg.pixels[]
-edgeImg.updatePixels();
-image(edgeImg, 100, 0); // Draw the new image