Java影象處理之獲取使用者感興趣的區域

import org.opencv.core.*;
import org.opencv.core.Point;
import org.opencv.imgproc.Imgproc;
import java.util.ArrayList;
import java.util.List;
public class MyTest{
    /**
     * demo:根據原圖片生成mask，再根據mask生成ROI圖片
     */
    @Test
    public void testCreateROI() throws IOException {
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
        Mat img = Imgcodecs.imread("C:\Users\Administrator\Desktop\20220720141206.jpg");

        //定義mask的區域邊界點
        List<Point> list = new ArrayList<>();
        list.add(new Point(600, 50));
        list.add(new Point(400, 500));
        list.add(new Point(1000, 550));
        list.add(new Point(1200, 50));

//        list.add(new Point(0,0));
//        list.add(new Point(1296,0));
//        list.add(new Point(1296,960));
//        list.add(new Point(0,960));

        // 構建掩膜mask
        List<MatOfPoint> maskArea = new ArrayList<>();
        MatOfPoint maskPoints = new MatOfPoint();
        maskPoints.fromList(list);
        maskArea.add(maskPoints);
        Mat mask;
        mask = new Mat(new Size(img.width(), img.height()), CvType.CV_8UC3, new Scalar(0, 0, 0));//定義成黑色
        Imgproc.fillPoly(mask, maskArea, new Scalar(255, 255, 255));//填充多邊形,生成mask,定義成白色
        // 儲存mask圖片
        Imgcodecs.imwrite("C:\Users\Administrator\Desktop\mask.tiff", mask);

        //根據mask將原圖片img複製生成ROI圖片dist
        Mat dist = new Mat(new Size(img.width(), img.height()), CvType.CV_8UC3, new Scalar(0, 0, 0));
        img.copyTo(dist, mask);
        Imgcodecs.imwrite("C:\Users\Administrator\Desktop\dist.tiff", dist);
    }
}

//方法1：生成mask
public static Mat create(int width, int height, String filePath, List<PointParam> points);
//方法2：根據mask生成ROI圖片
public static void solve(Mat mask, String strFrom, String strTo);

package com.example.phenocam.test;

import lombok.extern.slf4j.Slf4j;
import org.opencv.core.*;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
import java.util.ArrayList;
import java.util.List;

/**
 * 通過 OpenCV 建立一張mask,根據mask生成ROI圖片
 */

@Slf4j
public class ImageSolveByOpenCV {

	static {
		System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
	}

	/**
	 * 	  建立一個掩膜
	 * 	  @param width: 圖片的寬度
	 * 	  @param height: 圖片的高度
	 * 	  @param filePath: 檔案儲存的路徑
	 * 	  @param points: 輪廓的頂點
	 *    @return mask圖片的mat格式
	 */

	public static Mat create(int width, int height, String filePath, List<PointParam> points) {
		// 對輸入的點進行預處理
		List<org.opencv.core.Point> list = new ArrayList<>();
		for (PointParam p : points) {
			list.add(new org.opencv.core.Point(p.getX(), p.getY()));
		}

		// 建立掩膜區域
		List<MatOfPoint> maskArea = new ArrayList<>();
		MatOfPoint maskPoints = new MatOfPoint();
		maskPoints.fromList(list);
		maskArea.add(maskPoints);

		// 構建掩膜
		Mat mask = new Mat(new Size(width, height), CvType.CV_8UC3, new Scalar(0, 0, 0));
		Imgproc.fillPoly(mask, maskArea, new Scalar(255, 255, 255));

		// 儲存mask圖片
		Imgcodecs.imwrite(filePath,mask);
		log.info("mask圖片:{}生成成功",filePath);

		return mask;
	}

	/**
	 * 根據mask生成圖片 Mat格式
	 * @param mask
	 * @param strFrom 
	 * @param strTo
	 */
	public static void solve(Mat mask, String strFrom, String strTo){

		int width = mask.width();
		int height = mask.height();

		Mat image = Imgcodecs.imread(strFrom);
		Mat dist = new Mat(new Size(width, height), CvType.CV_8UC3, new Scalar(0, 0, 0));
		image.copyTo(dist,mask);

		Imgcodecs.imwrite(strTo,dist);
		log.info("_ROI圖片:"+strTo+"生成成功");
	}


	public static void main(String[] args) {
		long start = System.currentTimeMillis();

		System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
		String strFrom="C:\Users\Administrator\Desktop\20220720141206.jpg";//原圖片路徑
		String strTo="C:\Users\Administrator\Desktop\dest.jpg";//ROI圖片路徑（待生成）
		String maskPath = "C:\Users\Administrator\Desktop\mask.jpg";//mask的儲存路徑（待生成）
		Mat source = Imgcodecs.imread(strFrom);//讀入圖片的mat格式

		//處理邊界點
		List<PointParam> points = new ArrayList<>();
		points.add(new PointParam(50.0, 50.0));
		points.add(new PointParam(700.0, 50.0));
		points.add(new PointParam(700.0, 700.0));
		points.add(new PointParam(50.0, 700.0));

		//=========================1.根據引數生成mask============================
		Mat mask = ImageSolveByOpenCV.create(source.width(), source.height(), maskPath, points);//生成的mask
		System.out.println("opencv生成mask花費: " + (System.currentTimeMillis() - start) + "ms");
		start=System.currentTimeMillis();//重置時間

		//=========================2.根據mask生成ROI效果圖============================
		ImageSolveByOpenCV.solve(mask, strFrom, strTo);
		System.out.println("opencv生成mask花費: " + (System.currentTimeMillis() - start) + "ms");
	}
}

@Data
@AllArgsConstructor
public class PointParam {
    Double x;
    Double y;
}