opencv3_java 图像的阈值图像生成Threshold Imgproc.threshold

图像的阈值图像生成Threshold Imgproc.threshold

package opencv_java_demo;

import org.opencv.core.*;
import org.opencv.imgcodecs.*;
import org.opencv.imgproc.Imgproc;

public class Threshold {

	public static void main(String[] args) {
		try{
			System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
			
			Mat src=Imgcodecs.imread("./images/lenna.jpg",Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);
			//读取图像到矩阵中,取灰度图像
			if(src.empty()){
				throw new Exception("no file");
			}
			
			Imgcodecs.imwrite("./images/in.jpg", src);
			//输出灰度图像值
			Mat dst=new Mat();
			//定义新矩阵
			Imgproc.threshold(src, dst, 100.0, 200.0, Imgproc.THRESH_BINARY_INV);
			Imgcodecs.imwrite("./images/threshold_THRESH_BINARY_INV.jpg", src);
			
			Imgproc.threshold(src, dst, 100.0, 200.0, Imgproc.THRESH_TRUNC);
			Imgcodecs.imwrite("./images/threshold_THRESH_TRUNC.jpg", src);
			
			Imgproc.threshold(src, dst, 100.0, 200.0, Imgproc.THRESH_BINARY);
			Imgcodecs.imwrite("./images/threshold_THRESH_BINARY.jpg", src);
			
			Imgproc.threshold(src, dst, 100.0, 200.0, Imgproc.THRESH_TOZERO);
			Imgcodecs.imwrite("./images/threshold_THRESH_TOZERO.jpg", src);
			
			Imgproc.threshold(src, dst, 100.0, 200.0, Imgproc.THRESH_TOZERO_INV);
			Imgcodecs.imwrite("./images/threshold_THRESH_TOZERO_INV.jpg", src);
			
		}catch(Exception e){
			System.out.println("例外：" + e);
		}


	}

}