分享一个网上的图片识别程序

来源：互联网发布：快速复制软件哪个好编辑：程序博客网时间：2024/04/29 23:54

基于Java语言实现的相似图像识别，基于直方图比较算法。

原创不易，转载请注明出处：分享一个网上的图片识别程序

HistogramFilter.java

package com.zuidaima.image.compare;import java.awt.image.BufferedImage;public class HistogramFilter {private int redBins;private int greenBins;private int blueBins;public HistogramFilter() {redBins = greenBins = blueBins = 4;}public void setRedBinCount(int redBinCount) {this.redBins = redBinCount;}public void setGreenBinCount(int greenBinCount) {this.greenBins = greenBinCount;}public void setBlueBinCount(int blueBinCount) {this.blueBins = blueBinCount;}public float[] filter(BufferedImage src, BufferedImage dest) {int width = src.getWidth();int height = src.getHeight();int[] inPixels = new int[width * height];float[] histogramData = new float[redBins * greenBins * blueBins];getRGB(src, 0, 0, width, height, inPixels);int index = 0;int redIdx = 0, greenIdx = 0, blueIdx = 0;int singleIndex = 0;float total = 0;for (int row = 0; row < height; row++) {int ta = 0, tr = 0, tg = 0, tb = 0;for (int col = 0; col < width; col++) {index = row * width + col;ta = (inPixels[index] >> 24) & 0xff;tr = (inPixels[index] >> 16) & 0xff;tg = (inPixels[index] >> 8) & 0xff;tb = inPixels[index] & 0xff;redIdx = (int) getBinIndex(redBins, tr, 255);greenIdx = (int) getBinIndex(greenBins, tg, 255);blueIdx = (int) getBinIndex(blueBins, tb, 255);singleIndex = redIdx + greenIdx * redBins + blueIdx * redBins* greenBins;histogramData[singleIndex] += 1;total += 1;}}// start to normalize the histogram datafor (int i = 0; i < histogramData.length; i++) {histogramData[i] = histogramData[i] / total;}return histogramData;}private float getBinIndex(int binCount, int color, int colorMaxValue) {float binIndex = (((float) color) / ((float) colorMaxValue))* ((float) binCount);if (binIndex >= binCount)binIndex = binCount - 1;return binIndex;}public int[] getRGB(BufferedImage image, int x, int y, int width,int height, int[] pixels) {int type = image.getType();if (type == BufferedImage.TYPE_INT_ARGB|| type == BufferedImage.TYPE_INT_RGB)return (int[]) image.getRaster().getDataElements(x, y, width,height, pixels);return image.getRGB(x, y, width, height, pixels, 0, width);}}

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