这是我的第一篇文章,所以如果我错过了一些事情,请原谅。基本上,我提供了将普通图像转换为灰度图像的代码,然后需要将灰度图像转换为阈值图像,但是在执行此操作之前,我需要先确定阈值本身的值,但似乎无法确定怎么做。
import java.awt.*;
import java.awt.image.BufferedImage;
import java.io.*;
import javax.imageio.ImageIO;
import javax.swing.JFrame;
public class GrayScale {
BufferedImage image;
int width;
int height;
public GrayScale() {
try {
File input = new File("mysteryBird.jpg");
image = ImageIO.read(input);
width = image.getWidth();
height = image.getHeight();
int[] hist = new int[256];
for (int i = 0; i < height; i++) {
for (int j = 0; j < width; j++) {
Color c = new Color(image.getRGB(j, i));
int red = (int) (c.getRed() * 0.299);
int green = (int) (c.getGreen() * 0.587);
int blue = (int) (c.getBlue() * 0.114);
Color newColor = new Color(red + green + blue, red + green + blue, red + green + blue);
image.setRGB(j, i, newColor.getRGB());
}
}
File ouptut = new File("grayscale.jpg");
ImageIO.write(image, "jpg", ouptut);
} catch (Exception e) {
}
}