java直方图文件相似度比较 不用javacv
时间: 2024-02-01 08:09:09 浏览: 20
你可以使用Java自带的图像处理库ImageIO来读取图像文件,并使用Java自带的数据分析库Apache Commons Math来计算直方图的相似度。
以下是一个简单的示例代码:
```java
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.IOException;
import javax.imageio.ImageIO;
import org.apache.commons.math3.stat.descriptive.moment.Mean;
import org.apache.commons.math3.stat.descriptive.summary.Sum;
public class HistogramCompare {
public static void main(String[] args) throws IOException {
// 读取图像文件
BufferedImage img1 = ImageIO.read(new File("image1.jpg"));
BufferedImage img2 = ImageIO.read(new File("image2.jpg"));
// 计算直方图
int[] hist1 = calcHistogram(img1);
int[] hist2 = calcHistogram(img2);
// 计算直方图相似度
double similarity = calcHistogramSimilarity(hist1, hist2);
System.out.println("直方图相似度:" + similarity);
}
private static int[] calcHistogram(BufferedImage img) {
int[] hist = new int[256];
for (int y = 0; y < img.getHeight(); y++) {
for (int x = 0; x < img.getWidth(); x++) {
int pixel = img.getRGB(x, y);
int r = (pixel >> 16) & 0xff;
int g = (pixel >> 8) & 0xff;
int b = pixel & 0xff;
int gray = (r + g + b) / 3;
hist[gray]++;
}
}
return hist;
}
private static double calcHistogramSimilarity(int[] hist1, int[] hist2) {
double[] hist1Norm = normalize(hist1);
double[] hist2Norm = normalize(hist2);
double[] diff = new double[hist1.length];
for (int i = 0; i < hist1.length; i++) {
diff[i] = Math.abs(hist1Norm[i] - hist2Norm[i]);
}
Sum sum = new Sum();
double totalDiff = sum.evaluate(diff);
double similarity = 1 - totalDiff / 2;
return similarity;
}
private static double[] normalize(int[] hist) {
double[] histNorm = new double[hist.length];
int numPixels = hist.length;
Mean mean = new Mean();
double histMean = mean.evaluate(hist);
for (int i = 0; i < hist.length; i++) {
histNorm[i] = hist[i] / (double) numPixels - histMean;
}
return histNorm;
}
}
```
该代码读取两个图像文件,计算它们的直方图,并计算直方图的相似度。其中,`calcHistogram`方法用于计算直方图,`calcHistogramSimilarity`方法用于计算直方图相似度,`normalize`方法用于将直方图归一化,以便计算相似度。