Java结合OpenCV读取图片并遍历像素值[通俗易懂]

package com.opencv;

import java.awt.Dimension;
import java.awt.image.BufferedImage;
import java.util.ArrayList;
import java.util.List;
import java.util.Vector;

import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.videoio.VideoCapture;
import org.opencv.core.Scalar;
import org.opencv.imgcodecs.Imgcodecs;
public class VideoDemo { 
   

    public static void main(String[] args) { 
   
    	// 列表
        ArrayList array = new ArrayList();
        System.out.println("List: "+array);
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
        Mat image = new Mat();
        // 图像读取
        image = Imgcodecs.imread("/home/xdq/xinPrj/java/opencvTwo/images/DVI_dis.png");
        // 图像行:高度height
        int img_rows = image.rows();
        // 图像列:宽度width
        int img_colums = image.cols();
        // 图像通道:维度dims/channels
        int img_channels = image.channels();
        System.out.println("image mat: " + image+"\n");
        System.out.println("image rows: "+image.rows()+"\n");
        System.out.println("image column: "+image.cols()+"\n");
        System.out.println("image channels: "+image.channels()+"\n");
        System.out.println("image value: "+image.get(0, 0).length+"\n");
		// 图像像素遍历,按通道输出
        for(int i=0;i<img_channels;i++) { 
   
            for(int j=0;j<img_rows;j++){ 
   
                for(int k=0; k<img_colums;k++){ 
   
                    array.add(image.get(j,k)[i]);
                }
            }
            System.out.println("image value: "+array+"\n");
            // 列表清空
            array.clear();
        }
    }
}