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Ziver Koc 2008-11-14 16:38:36 +00:00
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src/zutil/image/ImageUtil.java Normal file
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package zutil.image;
/**
* Some util methods for image processing
* @author Ziver
*
*/
public class ImageUtil {
/**
* Returns the peek value in the image
*
* @param data The image data
* @param cols The number of columns
* @param rows The number of rows
* @return The peak value of the image
*/
public static int peakValue(int[][][] data, int cols, int rows) {
int peak = 0;
for(int y=0; y<rows ;y++){
for(int x=0; x<cols ;x++){
if(data[y][x][1] > peak) peak = data[y][x][1];
if(data[y][x][2] > peak) peak = data[y][x][2];
if(data[y][x][3] > peak) peak = data[y][x][3];
}
}
return peak;
}
/**
* Normalizes the image data by the given scale
*
* @param data The image data
* @param cols The number of columns
* @param rows The number of rows
* @param scale The scale to normalize the image by
*/
public static void normalize(int[][][] data, int cols, int rows, double scale) {
for(int y=0; y<rows ;y++){
for(int x=0; x<cols ;x++){
data[y][x][1] = (int)(data[y][x][1] * scale);
data[y][x][2] = (int)(data[y][x][2] * scale);
data[y][x][3] = (int)(data[y][x][3] * scale);
}
}
}
/**
* Returns the rms value of the image
* (The RMS value is a measure of the width of the color distribution.)
*
* @param data The image data
* @param cols The number of columns
* @param rows The number of rows
* @return The rms value for the image
*/
public static int rms(int[][][] data, int cols, int rows){
int pixelCount = 0;
long accum = 0;
for(int y=0; y <rows ;y++){
for(int x=0; x<cols ;x++){
accum += data[y][x][1] * data[y][x][1];
accum += data[y][x][2] * data[y][x][2];
accum += data[y][x][3] * data[y][x][3];
pixelCount += 3;
}
}
int meanSquare = (int)(accum/pixelCount);
int rms = (int)(Math.sqrt(meanSquare));
return rms;
}
/**
* Multiplies the given image data by the given value
*
* @param data The image data
* @param cols The number of columns
* @param rows The number of rows
* @param scale The number to scale the image by
*/
public static void scale(int[][][] data, int cols, int rows, double scale){
for(int y=0; y<rows ;y++){
for(int x=0; x<cols ;x++){
data[y][x][1] *= scale;
data[y][x][2] *= scale;
data[y][x][3] *= scale;
}
}
}
/**
* Returns the mean value of the given image data
*
* @param data The image data
* @param cols The column count
* @param rows The row count
* @return The mean value of the image
*/
public static int meanValue(int[][][] data,int cols, int rows){
int pixelCount = 0;
long accum = 0;
for(int y=0; y<rows ;y++){
for(int x=0; x<cols ;x++){
accum += data[y][x][1];
accum += data[y][x][2];
accum += data[y][x][3];
pixelCount += 3;
}
}
// calculate the mean value
return (int)(accum/pixelCount);
}
/**
* Adds the mean value to the image data
*
* @param data The image data
* @param cols The number of columns
* @param rows The number of rows
* @param mean The mean value
*/
public static void addMeanValue(int[][][] data,int cols, int rows, int mean){
for(int y=0; y<rows ;y++){
for(int x=0; x<cols ;x++){
data[y][x][1] += mean;
data[y][x][2] += mean;
data[y][x][3] += mean;
}
}
}
/**
* Copies all the pixel data from the image to the new array
*
* @param data The data to copy
* @param xStart X start position on the source
* @param yStart Y start position on the source
* @param width The amount of pixels to copy
* @param hight The amount of pixels to copy
* @return A copy of the data array
*/
public static int[][][] crop(int[][][] data, int xStart, int yStart, int width, int hight){
return crop(data, xStart, yStart, null, 0, 0, width, hight);
}
/**
* Copies all the pixel data from the image to the new array
*
* @param data The data to copy
* @param xData X start position in the source
* @param yData Y start position in the source
* @param crop The destination
* @param xCrop X start position in the destination
* @param yCrop Y start position in the destination
* @param width The amount of pixels to copy
* @param hight The amount of pixels to copy
* @return A copy of the data array
*/
public static int[][][] crop(int[][][] data, int xData, int yData, int[][][] crop, int xCrop, int yCrop, int width, int hight){
if(crop==null) crop = new int[width][hight][4];
for(int y=0; y<width ;y++){
for(int x=0; x<hight ;x++){
crop[y+yData][x+xData][0] = data[y+yCrop][x+xCrop][0];
crop[y+yData][x+xData][1] = data[y+yCrop][x+xCrop][1];
crop[y+yData][x+xData][2] = data[y+yCrop][x+xCrop][2];
crop[y+yData][x+xData][3] = data[y+yCrop][x+xCrop][3];
}
}
return crop;
}
}