在Java中迭代每个像素并确定颜色
import java.awt.image.BufferedImage;import java.io.File;import java.util.Collections;import java.util.Comparator;import java.util.HashMap;import java.util.Iterator;import java.util.linkedList;import java.util.List;import java.util.Map;import javax.imageio.ImageIO;import javax.imageio.ImageReader;import javax.imageio.stream.ImageInputStream;public class ImageTester { public static void main(String args[]) throws Exception { File file = new File("C:\Users\Andrew\Desktop\myImage.gif"); ImageInputStream is = ImageIO.createImageInputStream(file); Iterator iter = ImageIO.getImageReaders(is); if (!iter.hasNext()) { System.out.println("Cannot load the specified file "+ file); System.exit(1); } ImageReader imageReader = (ImageReader)iter.next(); imageReader.setInput(is); BufferedImage image = imageReader.read(0); int height = image.getHeight(); int width = image.getWidth(); Map m = new HashMap(); for(int i=0; i < width ; i++) { for(int j=0; j < height ; j++) { int rgb = image.getRGB(i, j); int[] rgbArr = getRGBArr(rgb); // Filter out grays.... if (!isGray(rgbArr)) { Integer counter = (Integer) m.get(rgb); if (counter == null) counter = 0; counter++; m.put(rgb, counter); } } } String colourHex = getMostCommonColour(m); System.out.println(colourHex); } public static String getMostCommonColour(Map map) { List list = new linkedList(map.entrySet()); Collections.sort(list, new Comparator() { public int compare(Object o1, Object o2) { return ((Comparable) ((Map.Entry) (o1)).getValue()) .compareTo(((Map.Entry) (o2)).getValue()); } }); Map.Entry me = (Map.Entry )list.get(list.size()-1); int[] rgb= getRGBArr((Integer)me.getKey()); return Integer.toHexString(rgb[0])+" "+Integer.toHexString(rgb[1])+" "+Integer.toHexString(rgb[2]); } public static int[] getRGBArr(int pixel) { int alpha = (pixel >> 24) & 0xff; int red = (pixel >> 16) & 0xff; int green = (pixel >> 8) & 0xff; int blue = (pixel) & 0xff; return new int[]{red,green,blue}; } public static boolean isGray(int[] rgbArr) { int rgDiff = rgbArr[0] - rgbArr[1]; int rbDiff = rgbArr[0] - rgbArr[2]; // Filter out black, white and grays...... (tolerance within 10 pixels) int tolerance = 10; if (rgDiff > tolerance || rgDiff < -tolerance) if (rbDiff > tolerance || rbDiff < -tolerance) { return false; } return true; }}
