Java Image Processing-chamfer distance transformation, java Image Processing-Chamfering

Java Image Processing-chamfer distance transformation, java Image Processing-Chamfering

Chamfer Distance Transform in image processing is often used in object matching recognition. The algorithm basically generates the Distance value of each pixel based on a 3x3 window, the distance is changed in two steps. The first step is to scan each pixel from the upper left corner, left to right, and move the window from top to bottom, the minimum distance and position are saved in four pixels (0, 1, 2, and 3) around the center pixel x, as shown in the figure below:

In the second step, the minimum distance and position of each pixel are detected from bottom up, right to left, and 4, 5, 6, and 7 adjacent pixels are saved as the result, which is shown as follows:

After completing these two steps, the result output is the result of the chamfer distance transformation. The complete code for distance conversion of image chamfering can be divided into the following steps:

1. initialize the pixel array. The initial distance of all background color pixels is infinite, and the distance of foreground pixels is 0.

2. Start the first step in the shift of the chamfer distance and save the result.

3. Based on the first step result, complete the second step in the chamfer distance transformation.

4. display all gray-scale values based on the distance transformation result to form an image

The final result is shown as follows (the source image on the left and the result after the CDT on the right)

The source code of the Complete Binary Image chamfering distance transformation is as follows:

Package com. gloomyfish. image. transform; import java. awt. color; import java. awt. image. bufferedImage; import java. util. arrays; import com. gloomyfish. filter. study. abstractBufferedImageOp; public class CDTFilter extends actbufferedimageop {private float [] dis; // nn-distances private int [] pos; // nn-positions, 32 bit index private Color bakcgroundColor; public CDTFilter (Color bgColor) {this. bak CgroundColor = bgColor;} @ Override public BufferedImage filter (BufferedImage src, BufferedImage dest) {int width = src. getWidth (); int height = src. getHeight (); if (dest = null) dest = createCompatibleDestImage (src, null); int [] inPixels = new int [width * height]; pos = new int [width * height]; dis = new float [width * height]; src. getRGB (0, 0, width, height, inPixels, 0, width); // random distance transformation point in T index = 0; Arrays. fill (dis, Float. MAX_VALUE); int numOfFC = 0; for (int row = 0; row 
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