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BinaryTest.java
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138 lines (114 loc) · 3.19 KB
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package train;
import java.awt.Color;
import java.awt.image.BufferedImage;
import java.io.File;
import java.io.IOException;
import javax.imageio.ImageIO;
public class BinaryTest {
public static void main(String[] args) throws IOException {
BufferedImage bufferedImage = ImageIO.read(new File("img2/1.jpeg"));
int h = bufferedImage.getHeight();
int w = bufferedImage.getWidth();
// 灰度化
int[][] gray = new int[w][h];
for (int x = 0; x < w; x++) {
for (int y = 0; y < h; y++) {
int argb = bufferedImage.getRGB(x, y);
int r = (argb >> 16) & 0xFF;
int g = (argb >> 8) & 0xFF;
int b = (argb >> 0) & 0xFF;
int grayPixel = (int) ((b * 29 + g * 150 + r * 77 + 128) >> 8);
gray[x][y] = grayPixel;
bufferedImage.setRGB(x, y, grayPixel);
}
}
// 二值化
int threshold = ostu(gray, w, h);
BufferedImage binaryBufferedImage = new BufferedImage(w, h, BufferedImage.TYPE_BYTE_BINARY);
for (int x = 0; x < w; x++) {
for (int y = 0; y < h; y++) {
if (gray[x][y] > threshold) {
gray[x][y] |= 0x00FFFF;
} else {
gray[x][y] &= 0xFF0000;
}
binaryBufferedImage.setRGB(x, y, gray[x][y]);
}
}
// 矩阵打印
for (int y = 0; y < h; y++) {
for (int x = 0; x < w; x++) {
if (isBlack(binaryBufferedImage.getRGB(x, y))) {
System.out.print("*");
} else {
System.out.print(" ");
}
}
System.out.println();
}
ImageIO.write(binaryBufferedImage, "jpg", new File("img2/1_2.jpg"));
}
public static boolean isBlack(int colorInt) {
Color color = new Color(colorInt);
if (color.getRed() + color.getGreen() + color.getBlue() <= 300) {
return true;
}
return false;
}
public static boolean isWhite(int colorInt) {
Color color = new Color(colorInt);
if (color.getRed() + color.getGreen() + color.getBlue() > 300) {
return true;
}
return false;
}
public static int isBlackOrWhite(int colorInt) {
if (getColorBright(colorInt) < 30 || getColorBright(colorInt) > 730) {
return 1;
}
return 0;
}
public static int getColorBright(int colorInt) {
Color color = new Color(colorInt);
return color.getRed() + color.getGreen() + color.getBlue();
}
public static int ostu(int[][] gray, int w, int h) {
int[] histData = new int[256];
// Calculate histogram
for (int x = 0; x < w; x++) {
for (int y = 0; y < h; y++) {
int red = 0xFF & gray[x][y];
histData[red]++;
}
}
// Total number of pixels
int total = w * h;
float sum = 0;
for (int t = 0; t < 256; t++)
sum += t * histData[t];//区域，长*高
float sumB = 0;
int wB = 0;
int wF = 0;
float varMax = 0;
int threshold = 0;
for (int t = 0; t < 256; t++) {
wB += histData[t]; // Weight Background
if (wB == 0)
continue;
wF = total - wB; // Weight Foreground
if (wF == 0)
break;
sumB += (float) (t * histData[t]);
float mB = sumB / wB; // Mean Background
float mF = (sum - sumB) / wF; // Mean Foreground
// Calculate Between Class Variance
float varBetween = (float) wB * (float) wF * (mB - mF) * (mB - mF);
// Check if new maximum found
if (varBetween > varMax) {
varMax = varBetween;
threshold = t;
}
}
return threshold;
}
}