package org.chinasb.client;
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( "D:/passCodeAction.jpg" ));
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);
// 图像加亮(调整亮度识别率非常高) int r = ( int )(((argb >> 16 ) & 0xFF ) * 1.1 + 30 );
int g = ( int )(((argb >> 8 ) & 0xFF ) * 1.1 + 30 );
int b = ( int )(((argb >> 0 ) & 0xFF ) * 1.1 + 30 );
if (r >= 255 ) {
r = 255 ;
}
if (g >= 255 ) {
g = 255 ;
}
if (b >= 255 ) {
b = 255 ;
}
gray[x][y] = ( int ) Math.pow((Math.pow(r, 2.2 ) * 0.2973 + Math.pow(g, 2.2 ) * 0.6274 + Math.pow(b, 2.2 ) * 0.0753 ), 1 / 2.2 );
}
}
// 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( "D:/code.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 [w * h];
// 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];
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;
}
}
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