如何在java中檢查圖像中的匹配像素？

Question

我想將圖像讀入像素，並希望檢查匹配的像素值並進行一些處理並將處理後的像素轉換爲圖像。我有

Pixel Location(582,131)- [Alpha: 255, Red: 243, Green: 88, Blue: 146] 

Pixel Location(582,132)- [Alpha: 255, Red: 244, Green: 86, Blue: 145] 

Pixel Location(582,133)- [Alpha: 255, Red: 245, Green: 87, Blue: 146] 


Pixel Location(582,134)- [Alpha: 255, Red: 248, Green: 90, Blue: 149] 

Pixel Location(582,135)- [Alpha: 255, Red: 250, Green: 92, Blue: 151] 

Pixel Location(582,136)- [Alpha: 255, Red: 251, Green: 91, Blue: 151] 

Pixel Location(582,137)- [Alpha: 255, Red: 248, Green: 88, Blue: 148] 

Pixel Location(582,138)- [Alpha: 255, Red: 248, Green: 88, Blue: 148] 

這些像素值。現在我想知道如何將這些值相互比較以獲得匹配的像素。

並將處理後的圖像的像素值轉換爲圖像

public static void pixels(String args) { 

    BufferedImage image = readImage(args); 


    printAllARGBDetails(image); 
     } 

     public static void printAllARGBDetails(BufferedImage image) { 
    int width = image.getWidth(); 
    int height = image.getHeight(); 
    System.out.println("Image Dimension: Height-" + height + ", Width-" 
      + width); 
    System.out.println("Total Pixels: " + (height * width)); 
    for (int i = 0; i < width; i++) { 
     for (int j = 0; j < height; j++) { 

      int pixel = image.getRGB(i, j); 
      System.out.println("Pixel Location(" + i + "," + j + ")- [" 
        + getARGBPixelData(pixel) + "]"); 
     } 
    } 
} 

public static String getARGBPixelData(int pixel) { 
    String pixelARGBData = ""; 

    int alpha = (pixel >> 24) & 0x000000FF; 



    int red = (pixel >> 16) & 0x000000FF; 


    int green = (pixel >>8) & 0x000000FF; 


    int blue = (pixel) & 0x000000FF; 

    pixelARGBData = "Alpha: " + alpha + ", " + "Red: " + red + ", " 
      + "Green: " + green + ", " + "Blue: " + blue; 

    return pixelARGBData; 
} 


public static BufferedImage readImage(String fileLocation) 
    { 
    BufferedImage img = null; 

    try 
    { 

     img = ImageIO.read(new File(fileLocation)); 

    } 

    catch (IOException e) 

    { 

     e.printStackTrace(); 

    } 
    return img; 


} 

Answer 1

您可以使用一類像pixel，並做了一些快速算法，如Fast and quick pixel matching algorithm所示的一個比較壓倒一切。