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image和陣列轉換

    public static int[][] convertImageToArray(BufferedImage bf) {
        // 獲取圖片寬度和高度
        int width = bf.getWidth();
        int height = bf.getHeight();
        // 將圖片sRGB資料寫入一維陣列
        int[] data = new int[width*height];
        bf.getRGB(0, 0, width, height, data, 0, width);
        // 將一維陣列轉換為為二維陣列
int[][] rgbArray = new int[height][width]; for(int i = 0; i < height; i++) for(int j = 0; j < width; j++) rgbArray[i][j] = data[i*width + j]; return rgbArray; } public static void writeImageFromArray(String imageFile, String type, int
[][] rgbArray){ // 獲取陣列寬度和高度 int width = rgbArray[0].length; int height = rgbArray.length; // 將二維陣列轉換為一維陣列 int[] data = new int[width*height]; for(int i = 0; i < height; i++) for(int j = 0; j < width; j++) data[i*width + j] = rgbArray[i][j];
// 將資料寫入BufferedImage BufferedImage bf = new BufferedImage(width, height, BufferedImage.TYPE_INT_BGR); bf.setRGB(0, 0, width, height, data, 0, width); // 輸出圖片 try { File file= new File(imageFile); ImageIO.write((RenderedImage)bf, type, file); } catch (IOException e) { e.printStackTrace(); } }
import java.awt.image.BufferedImage
import org.apache.spark.ml.linalg.{Vector => MLVector, Vectors => MLVectors}

    def imgToArray(inputImg: BufferedImage): Array[MLVector] ={
      //獲取圖片寬度和高度
      val wResize = inputImg.getWidth
      val hResize = inputImg.getHeight
      val pixelList = new Array[MLVector](wResize)
      for (x <- 0 until wResize){
        //將圖片sRGB資料寫入一維陣列中
        val lineList = new Array[Double](hResize)
        for (y <- 0 until hResize){
          lineList(y) = inputImg.getRGB(x, y)
        }
        val lineVector: MLVector = MLVectors.dense(lineList)
        pixelList(x) = lineVector
      }
      pixelList
    }