均值滤波

来源：互联网发布：java 插件开发 demo 编辑：程序博客网时间：2024/05/16 17:20

均值滤波是典型的线性滤波算法，它是指在图像上对目标像素给一个模板，该模板包括了其周围的临近像素（以目标像素为中心的周围8个像素，构成一个滤波模板，即去掉目标像素本身），再用模板中的全体像素的平均值来代替原来像素值。

public void jMean_ActionPerformed(ActionEvent e) {
if(flag_load){
//

if(flag_load){
//BufferedImage.TYPE_INT_RGB ：表示一个图像，该图像具有整数像素的 8 位 RGB 颜色
BufferedImage grayImage = new BufferedImage(iw, ih,
BufferedImage.TYPE_INT_RGB);

ColorModel cm = ColorModel.getRGBdefault();

for(int i=1;i<ih-1;i++){
for(int j=1;j<iw-1;j++){

int red1 = cm.getRed(pixels[(i-1)*iw+j-1]);
int red2 = cm.getRed(pixels[(i-1)*iw+j]);
int red3 = cm.getRed(pixels[(i-1)*iw+j+1]);
int red4 = cm.getRed(pixels[i*iw+j-1]);
int red6 = cm.getRed(pixels[i*iw+j+1]);
int red7 = cm.getRed(pixels[(i+1)*iw+j-1]);
int red8 = cm.getRed(pixels[(i+1)*iw+j]);
int red9 = cm.getRed(pixels[(i+1)*iw+j+1]);
int meanRed = (red1+red2+red3+red4+red6+red7+red8+red9)/8;

int green1 = cm.getGreen(pixels[(i-1)*iw+j-1]);
int green2 = cm.getGreen(pixels[(i-1)*iw+j]);
int green3 = cm.getGreen(pixels[(i-1)*iw+j+1]);
int green4 = cm.getGreen(pixels[i*iw+j-1]);
int green6 = cm.getGreen(pixels[i*iw+j+1]);
int green7 = cm.getGreen(pixels[(i+1)*iw+j-1]);
int green8 = cm.getGreen(pixels[(i+1)*iw+j]);
int green9 = cm.getGreen(pixels[(i+1)*iw+j+1]);
int meanGreen = (green1+green2+green3+green4+green6+green7+green8+green9)/8;

int blue1 = cm.getBlue(pixels[(i-1)*iw+j-1]);
int blue2 = cm.getBlue(pixels[(i-1)*iw+j]);
int blue3 = cm.getBlue(pixels[(i-1)*iw+j+1]);
int blue4 = cm.getBlue(pixels[i*iw+j-1]);
int blue6 = cm.getBlue(pixels[i*iw+j+1]);
int blue7 = cm.getBlue(pixels[(i+1)*iw+j-1]);
int blue8 = cm.getBlue(pixels[(i+1)*iw+j]);
int blue9 = cm.getBlue(pixels[(i+1)*iw+j+1]);
int meanBlue = (blue1+blue2+blue3+blue4+blue6+blue7+blue8+blue9)/8;

// 就是把四个八位二进制数

//拼接成一个二进制数（32位）

// 255<<24：11111111变成111111110000...（24个0）

int rgb = 255<<24|meanRed<<16|meanGreen<<8|meanBlue;
grayImage.setRGB(j, i, rgb);
}
}
tmp = grayImage;
repaint();

}else{
JOptionPane.showMessageDialog(null, "先点击“装载图像”，3Q！","提示：",
JOptionPane.WARNING_MESSAGE);
}

}

具体细节看我写的灰度图

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