图像直接阈值化操作 AdaptiveThreshold
package opencv_java_demo;
import org.opencv.core.*;
import org.opencv.imgcodecs.*;
import org.opencv.imgproc.Imgproc;
public class AdaptiveThreshold {
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.adaptiveThreshold(src, dst, 200, Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C, Imgproc.THRESH_BINARY, 7, 8);
Imgcodecs.imwrite("./images/adaptivethreshold.jpg", dst);
}catch(Exception e){
System.out.println("例外:" + e);
}
}
}
