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Fixed some bugs and framework for the image filters

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Ziver Koc 2009-04-16 20:51:15 +00:00
parent 9f839fd803
commit 1bde5a6977
13 changed files with 342 additions and 266 deletions
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180
src/zutil/image/ImageUtil.java
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@ -6,18 +6,35 @@ package zutil.image;
*
*/
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
* @param startX is the x pixel of the image to start from
* @param startY is the y pixel of the image to start from
* @param stopX is the x pixel of the image to stop
* @param stopY is the y pixel of the image to stop
* @return The peak value of the image
*/
public static int peakValue(int[][][] data, int cols, int rows) {
public static int peakValue(int[][][] data) {
return peakValue(data, 0, 0, data[0].length, data.length);
}
/**
* Returns the peek value in the image
*
* @param data The image data
* @param startX is the x pixel of the image to start from
* @param startY is the y pixel of the image to start from
* @param stopX is the x pixel of the image to stop
* @param stopY is the y pixel of the image to stop
* @return The peak value of the image
*/
public static int peakValue(int[][][] data, int startX, int startY, int stopX, int stopY) {
int peak = 0;
for(int y=0; y<rows ;y++){
for(int x=0; x<cols ;x++){
for(int y=startY; y<stopY ;y++){
for(int x=startX; x<stopX ;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];
@ -30,13 +47,15 @@ public class ImageUtil {
* 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 startX is the x pixel of the image to start from
* @param startY is the y pixel of the image to start from
* @param stopX is the x pixel of the image to stop
* @param stopY is the y pixel of the image to stop
* @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++){
public static void normalize(int[][][] data, int startX, int startY, int stopX, int stopY, double scale) {
for(int y=startY; y<stopY ;y++){
for(int x=startX; x<stopX ;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);
@ -49,13 +68,15 @@ public class ImageUtil {
*
* @param output The output data array
* @param data The image data
* @param cols The number of columns
* @param rows The number of rows
* @param startX is the x pixel of the image to start from
* @param startY is the y pixel of the image to start from
* @param stopX is the x pixel of the image to stop
* @param stopY is the y pixel of the image to stop
* @param scale The scale to normalize the image by
*/
public static void normalize(int[][][] output, int[][][] data, int cols, int rows, double scale) {
for(int y=0; y<rows ;y++){
for(int x=0; x<cols ;x++){
public static void normalize(int[][][] output, int[][][] data, int startX, int startY, int stopX, int stopY, double scale) {
for(int y=startY; y<stopY ;y++){
for(int x=startX; x<stopX ;x++){
output[y][x][1] = (int)(data[y][x][1] * scale);
output[y][x][2] = (int)(data[y][x][2] * scale);
output[y][x][3] = (int)(data[y][x][3] * scale);
@ -64,19 +85,21 @@ public class ImageUtil {
}
/**
* Returns the rms value of the image
* 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
* @param data is the image data
* @param startX is the x pixel of the image to start from
* @param startY is the y pixel of the image to start from
* @param stopX is the x pixel of the image to stop
* @param stopY is the y pixel of the image to stop
* @return The RMS value for the image
*/
public static int rms(int[][][] data, int cols, int rows){
public static int rms(int[][][] data, int startX, int startY, int stopX, int stopY){
int pixelCount = 0;
long accum = 0;
for(int y=0; y <rows ;y++){
for(int x=0; x<cols ;x++){
for(int y=startY; y <stopY ;y++){
for(int x=startX; x<stopX ;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];
@ -92,13 +115,15 @@ public class ImageUtil {
* 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 startX is the x pixel of the image to start from
* @param startY is the y pixel of the image to start from
* @param stopX is the x pixel of the image to stop
* @param stopY is the y pixel of the image to stop
* @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++){
public static void scale(int[][][] data, int startX, int startY, int stopX, int stopY, double scale){
for(int y=startY; y<stopY ;y++){
for(int x=startX; x<stopX ;x++){
data[y][x][1] *= scale;
data[y][x][2] *= scale;
data[y][x][3] *= scale;
@ -110,15 +135,27 @@ public class ImageUtil {
* 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){
public static int meanValue(int[][][] data){
return meanValue(data, 0, 0, data[0].length, data.length);
}
/**
* Returns the mean value of the given image data
*
* @param data The image data
* @param startX is the x pixel of the image to start from
* @param startY is the y pixel of the image to start from
* @param stopX is the x pixel of the image to stop
* @param stopY is the y pixel of the image to stop
* @return The mean value of the image
*/
public static int meanValue(int[][][] data, int startX, int startY, int stopX, int stopY){
int pixelCount = 0;
long accum = 0;
for(int y=0; y<rows ;y++){
for(int x=0; x<cols ;x++){
for(int y=startY; y<stopY ;y++){
for(int x=startX; x<stopX ;x++){
accum += data[y][x][1];
accum += data[y][x][2];
accum += data[y][x][3];
@ -133,13 +170,15 @@ public class ImageUtil {
* 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 startX is the x pixel of the image to start from
* @param startY is the y pixel of the image to start from
* @param stopX is the x pixel of the image to stop
* @param stopY is the y pixel of the image to stop
* @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++){
public static void addMeanValue(int[][][] data, int startX, int startY, int stopX, int stopY, int mean){
for(int y=startY; y<stopY ;y++){
for(int x=startX; x<stopX ;x++){
data[y][x][1] += mean;
data[y][x][2] += mean;
data[y][x][3] += mean;
@ -191,21 +230,48 @@ public class ImageUtil {
* Copies the given array to a new one that it returns
*
* @param data The data to duplicate
* @param cols The amount of columns
* @param rows The amount of rows
* @return an copy of the array
*/
public static int[][][] copyArray(int[][][] data){
return copyArray(data, 0, 0, data[0].length, data.length);
}
/**
* Copies the given array to a new one that it returns
*
* @param data The data to duplicate
* @param startX is the x pixel of the image to start from
* @param startY is the y pixel of the image to start from
* @param stopX is the x pixel of the image to stop
* @param stopY is the y pixel of the image to stop
* @return The array copy
*/
public static int[][][] copyArray(int[][][] data,int cols,int rows){
int[][][] copy = new int[rows][cols][4];
for(int y=0; y<rows ;y++){
for(int x=0; x<cols ;x++){
copy[y][x][0] = data[y][x][0];
copy[y][x][1] = data[y][x][1];
copy[y][x][2] = data[y][x][2];
copy[y][x][3] = data[y][x][3];
public static int[][][] copyArray(int[][][] data, int startX, int startY, int stopX, int stopY){
int[][][] copy = new int[data.length][data[0].length][4];
return copyArray(data, copy, startX, startY, stopX, stopY);
}
/**
* Copies the given array to a new one that it returns
*
* @param data The data to duplicate
* @param dest is the array to copy the data to
* @param startX is the x pixel of the image to start from
* @param startY is the y pixel of the image to start from
* @param stopX is the x pixel of the image to stop
* @param stopY is the y pixel of the image to stop
* @return the dest array
*/
public static int[][][] copyArray(int[][][] data, int[][][] dest, int startX, int startY, int stopX, int stopY){
for(int y=startY; y<stopY ;y++){
for(int x=startX; x<stopX ;x++){
dest[y][x][0] = data[y][x][0];
dest[y][x][1] = data[y][x][1];
dest[y][x][2] = data[y][x][2];
dest[y][x][3] = data[y][x][3];
}
}
return copy;
return dest;
}
/**
@ -213,15 +279,17 @@ public class ImageUtil {
* are in the range 0-255
*
* @param data The image data
* @param cols The amount of columns
* @param rows The amount of rows
* @param startX is the x pixel of the image to start from
* @param startY is the y pixel of the image to start from
* @param stopX is the x pixel of the image to stop
* @param stopY is the y pixel of the image to stop
*/
public static void clip(int[][][] data, int cols, int rows){
for(int y=0; y<rows ;y++){
for(int x=0; x<cols ;x++){
public static void clip(int[][][] data, int startX, int startY, int stopX, int stopY){
for(int y=startY; y<stopY ;y++){
for(int x=startX; x<stopX ;x++){
data[y][x][1] = clip(data[y][x][1]);
data[y][x][1] = clip(data[y][x][2]);
data[y][x][1] = clip(data[y][x][3]);
data[y][x][2] = clip(data[y][x][2]);
data[y][x][3] = clip(data[y][x][3]);
}
}
}