详解OpenCVForJava环境搭建与功能演示

Mat src = Imgcodecs.imread(imageFilePath);
if(src.empty()) return;

public BufferedImage conver2Image(Mat mat) {
 int width = mat.cols();
 int height = mat.rows();
 int dims = mat.channels();
 int[] pixels = new int[width*height];
 byte[] rgbdata = new byte[width*height*dims];
 mat.get(0, 0, rgbdata);
 BufferedImage image = new BufferedImage(width, height, 
       BufferedImage.TYPE_INT_ARGB);
 int index = 0;
 int r=0, g=0, b=0;
 for(int row=0; row

public Mat convert2Mat(BufferedImage image) {
 int width = image.getWidth();
 int height = image.getHeight();
 Mat src = new Mat(new Size(width, height), CvType.CV_8UC3);
 int[] pixels = new int[width*height];
 byte[] rgbdata = new byte[width*height*3];
 getRGB( image, 0, 0, width, height, pixels );
 int index = 0, c=0;
 int r=0, g=0, b=0;
 for(int row=0; row>16;
   g = (c&0xff00)>>8;
   b = c&0xff;

   index = row*width*3 + col*3;
   rgbdata[index] = (byte)b;
   rgbdata[index+1] = (byte)g;
   rgbdata[index+2] = (byte)r;
  }
 }

 src.put(0, 0, rgbdata);
 return src;
}

int width = image.cols();
int height = image.rows();
int dims = image.channels();
byte[] data = new byte[width*height*dims];
image.get(0, 0, data);

int index = 0;
int r=0, g=0, b=0;
for(int row=0; row

Imgcodecs.imwrite(filePath, src); 

package com.gloomyfish.opencvdemo;

import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.Size;
import org.opencv.imgproc.Imgproc;

public class ImageFilters {

 /** - 反色处理 - */
 public Mat inverse(Mat image) {
  int width = image.cols();
  int height = image.rows();
  int dims = image.channels();
  byte[] data = new byte[width*height*dims];
  image.get(0, 0, data);

  int index = 0;
  int r=0, g=0, b=0;
  for(int row=0; row

System.loadLibrary(Core.NATIVE_LIBRARY_NAME);