java_opencv/src/main/java/com/acts/opencv/base/RectificationController.java

package com.acts.opencv.base;

import java.io.IOException;
import java.util.ArrayList;
import java.util.List;

import javax.servlet.http.HttpServletResponse;

import org.opencv.core.Core;
import org.opencv.core.Core.MinMaxLocResult;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfPoint;
import org.opencv.core.MatOfPoint2f;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.highgui.Highgui;
import org.opencv.imgproc.Imgproc;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.RequestMapping;

import com.acts.opencv.common.utils.Constants;
import com.acts.opencv.common.utils.OpenCVUtil;
import com.acts.opencv.common.web.BaseController;


@Controller
@RequestMapping(value = "rect")
public class RectificationController extends BaseController {
	private static final Logger logger = LoggerFactory.getLogger(RectificationController.class);

	/**
	 * 图像矫正透视变换
	 * 创建者 Songer
	 * 创建时间	2018年4月10日
	 */
	@RequestMapping(value = "rectification")
	public void rectification(HttpServletResponse response, String imagefile, Integer markType) {
		System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
		logger.info("\n 图像矫正透视变换");

		String sourcePath = Constants.PATH + imagefile;
		logger.info("url==============" + sourcePath);
		// 加载为灰度图显示
		Mat source1 = Highgui.imread(sourcePath, Highgui.CV_LOAD_IMAGE_COLOR);
		Mat source2 = Highgui.imread(sourcePath, Highgui.CV_LOAD_IMAGE_GRAYSCALE);
		Point anchor01 = new Point();
		Point anchor02 = new Point();
		Point anchor03 = new Point();
		Point anchor04 = new Point();
		if (markType == 1) {// 模板匹配识别定位点
			String matchPath = Constants.PATH + Constants.SOURCE_IMAGE_PATH + "z1_temp.png";
			fetchAnchorPoints1(sourcePath, matchPath, anchor01, anchor02, anchor03, anchor04);
		} else if (markType == 2) {// 霍夫圆检测识别定位点
			fetchAnchorPoints2(sourcePath, anchor01, anchor02, anchor03, anchor04);
		}
		MatOfPoint mop = new MatOfPoint(anchor01, anchor02, anchor03, anchor04);
		MatOfPoint2f mat2f = new MatOfPoint2f();
		MatOfPoint2f refmat2f = new MatOfPoint2f();
		mop.convertTo(mat2f, CvType.CV_32FC1);

		List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
		contours.add(mop);
		Core.polylines(source2, contours, true, new Scalar(0, 0, 255), 1);
		String destPath = Constants.PATH + Constants.DEST_IMAGE_PATH + "rect1.png";
		Highgui.imwrite(destPath, source2);
		// Point point11 = anchor01;
		// Point point12 = new Point(anchor02.x, anchor01.y);
		// Point point13 = new Point(anchor01.x, anchor03.y);
		// Point point14 = new Point(anchor02.x, anchor03.y);
		Point point11 = new Point(99, 200);
		Point point12 = new Point(2317, 200);
		Point point13 = new Point(99, 3300);
		Point point14 = new Point(2317, 3300);

		Mat dst_vertices = new MatOfPoint(point11, point12, point13, point14);
		dst_vertices.convertTo(refmat2f, CvType.CV_32FC1);
		Mat warpMatrix = Imgproc.getPerspectiveTransform(mat2f, refmat2f);

		Mat dst = new Mat(source1.rows(), source1.cols(), source1.type());
		System.out.println(source1.rows() + " " + source1.cols());
		Imgproc.warpPerspective(source1, dst, warpMatrix, dst.size(), Imgproc.INTER_LINEAR, 0,
				new Scalar(255, 255, 255));
		destPath = Constants.PATH + Constants.DEST_IMAGE_PATH + "rect2.png";
		Highgui.imwrite(destPath, dst);
		try {
			byte[] imgebyte = OpenCVUtil.covertMat2Byte1(dst);
			renderImage(response, imgebyte);
		} catch (IOException e) {
			e.printStackTrace();
		}
	}

	/**
	 * 获得锚点(定位点)
	 * 方法1，通过模板匹配圆心，应该换成正方形也可以，之前模板匹配不行是因为模板图形不是最小的
	 * @Author 王嵩
	 * @param src
	 * @param mattmp
	 * @param anchor01
	 * @param anchor02
	 * @param anchor03
	 * @param anchor04 void
	 * @Date 2018年2月7日
	 * 更新日志
	 * 2018年2月7日 王嵩  首次创建
	 *
	 */
	public static void fetchAnchorPoints1(String sourcePath, String matchPath, Point anchor01, Point anchor02,
			Point anchor03,
			Point anchor04) {
		Mat imagematch = new Mat();
		Mat colorimage = Highgui.imread(sourcePath, Highgui.CV_LOAD_IMAGE_COLOR);
		Point maxLoc01, maxLoc02, maxLoc03, maxLoc04;
		int srcRows = colorimage.rows();
		int srcCols = colorimage.cols();
		Mat src01 = colorimage.submat(new Rect(0, 0, srcCols / 2, srcRows / 2));
		Mat src02 = colorimage.submat(new Rect(srcCols / 2, 0, srcCols / 2, srcRows / 2));
		Mat src03 = colorimage.submat(new Rect(0, srcRows / 2, srcCols / 2, srcRows / 2));
		Mat src04 = colorimage.submat(new Rect(srcCols / 2, srcRows / 2, srcCols / 2, srcRows / 2));
		// Highgui.imwrite("D://ttt/t1.jpg", src01);
		// Highgui.imwrite("D://ttt/t2.jpg", src02);
		// Highgui.imwrite("D://ttt/t3.jpg", src03);
		// Highgui.imwrite("D://ttt/t4.jpg", src04);
		Mat mattmp = Highgui.imread(matchPath, Highgui.CV_LOAD_IMAGE_COLOR);
		Imgproc.matchTemplate(mattmp, src01, imagematch, Imgproc.TM_CCOEFF_NORMED);
		// Core.normalize(imagematch, imagematch, 0, 1, Core.NORM_MINMAX, -1, new Mat());
		MinMaxLocResult minmaxLoc1 = Core.minMaxLoc(imagematch);
		System.out.println("minmaxLoc1.maxVal:" + minmaxLoc1.maxVal);
		maxLoc01 = minmaxLoc1.maxLoc;
		anchor01.x = maxLoc01.x;
		anchor01.y = maxLoc01.y;
		Core.circle(colorimage, maxLoc01, 3, new Scalar(0, 0, 255), 3);
		String destPath = Constants.PATH + Constants.DEST_IMAGE_PATH + "rect_c1.png";
		Highgui.imwrite(destPath, colorimage);

		Imgproc.matchTemplate(mattmp, src02, imagematch, Imgproc.TM_CCOEFF_NORMED);
		// Core.normalize(imagematch, imagematch, 0, 1, Core.NORM_MINMAX, -1, new Mat());
		MinMaxLocResult minmaxLoc2 = Core.minMaxLoc(imagematch);
		System.out.println("minmaxLoc2.maxVal:" + minmaxLoc2.maxVal);
		maxLoc02 = minmaxLoc2.maxLoc;
		anchor02.x = maxLoc02.x + srcCols / 2;
		anchor02.y = maxLoc02.y;
		Core.circle(colorimage, anchor02, 3, new Scalar(0, 0, 255), 3);
		destPath = Constants.PATH + Constants.DEST_IMAGE_PATH + "rect_c2.png";
		Highgui.imwrite(destPath, colorimage);

		Imgproc.matchTemplate(mattmp, src03, imagematch, Imgproc.TM_CCOEFF_NORMED);
		// Core.normalize(imagematch, imagematch, 0, 1, Core.NORM_MINMAX, -1, new Mat());
		MinMaxLocResult minmaxLoc3 = Core.minMaxLoc(imagematch);
		System.out.println("minmaxLoc3.maxVal:" + minmaxLoc3.maxVal);
		maxLoc03 = minmaxLoc3.maxLoc;
		anchor03.x = maxLoc03.x;
		anchor03.y = maxLoc03.y + srcRows / 2;
		Core.circle(colorimage, anchor03, 3, new Scalar(0, 0, 255), 3);
		destPath = Constants.PATH + Constants.DEST_IMAGE_PATH + "rect_c3.png";
		Highgui.imwrite(destPath, colorimage);

		Imgproc.matchTemplate(mattmp, src04, imagematch, Imgproc.TM_CCOEFF_NORMED);
		// Core.normalize(imagematch, imagematch, 0, 1, Core.NORM_MINMAX, -1, new Mat());
		MinMaxLocResult minmaxLoc4 = Core.minMaxLoc(imagematch);
		System.out.println("minmaxLoc4.maxVal:" + minmaxLoc4.maxVal);
		maxLoc04 = minmaxLoc4.maxLoc;
		anchor04.x = maxLoc04.x + srcCols / 2;
		anchor04.y = maxLoc04.y + srcRows / 2;
		Core.circle(colorimage, anchor04, 3, new Scalar(0, 0, 255), 3);
		destPath = Constants.PATH + Constants.DEST_IMAGE_PATH + "rect_c4.png";
		Highgui.imwrite(destPath, colorimage);

	}

	/**
	 * 获得锚点(定位点)
	 * 方法2，霍夫曼圆变换查找定位点
	 * @Author 王嵩
	 * @param src
	 * @param mattmp
	 * @param anchor01
	 * @param anchor02
	 * @param anchor03
	 * @param anchor04 void
	 * @Date 2018年2月7日
	 * 更新日志
	 * 2018年2月7日 王嵩  首次创建
	 *
	 */
	public static void fetchAnchorPoints2(String sourcePath, Point anchor01, Point anchor02, Point anchor03,
			Point anchor04) {
		Mat src = Highgui.imread(sourcePath, Highgui.CV_LOAD_IMAGE_GRAYSCALE);
		Mat colorimage = Highgui.imread(sourcePath, Highgui.CV_LOAD_IMAGE_COLOR);
		int srcRows = src.rows();
		int srcCols = src.cols();
		Mat source1 = src.submat(new Rect(0, 0, srcRows / 2, srcRows / 2));
		Mat source2 = src.submat(new Rect(srcCols / 2, 0, srcCols / 2, srcRows / 2));
		Mat source3 = src.submat(new Rect(0, srcRows / 2, srcCols / 2, srcRows / 2));
		Mat source4 = src.submat(new Rect(srcCols / 2, srcRows / 2, srcCols / 2, srcRows / 2));

		Mat src01 = colorimage.submat(new Rect(0, 0, srcRows / 2, srcRows / 2));
		Mat src02 = colorimage.submat(new Rect(srcCols / 2, 0, srcCols / 2, srcRows / 2));
		Mat src03 = colorimage.submat(new Rect(0, srcRows / 2, srcCols / 2, srcRows / 2));
		Mat src04 = colorimage.submat(new Rect(srcCols / 2, srcRows / 2, srcCols / 2, srcRows / 2));

		// Mat rrr = OpenCVUtil.imageBinary(src01);
		Mat circles = new Mat();// 声明一个向量，保存检测出的圆的圆心坐标和半径
		Imgproc.HoughCircles(source1, circles, Imgproc.CV_HOUGH_GRADIENT, 1.0, 300 / 8, 200, 90, 10, 50);// 霍夫变换检测圆
		System.out.println("图片高 宽：" + src.rows() + "		" + src.cols());
		System.out.println(circles.cols());
		int cols = circles.cols();
		if (cols > 0) {
			for (int i = 0; i < circles.cols(); i++) {
				double vCircle[] = circles.get(0, i);
				Point center = new Point(vCircle[0], vCircle[1]);
				int radius = (int) Math.round(vCircle[2]);
				Core.circle(src01, center, 3, new Scalar(0, 255, 0), -1, 8, 0);
				Core.circle(src01, center, radius, new Scalar(0, 0, 255), 3, 8, 0);
				anchor01.x = vCircle[0];
				anchor01.y = vCircle[1];

			}
		}
		String destPath = Constants.PATH + Constants.DEST_IMAGE_PATH + "rect_cc1.png";
		Highgui.imwrite(destPath, src01);

		Imgproc.HoughCircles(source2, circles, Imgproc.CV_HOUGH_GRADIENT, 1.0, 300 / 8, 200, 90, 10, 50);// 霍夫变换检测圆
		System.out.println(circles.cols());
		if (circles.cols() > 0) {
			for (int i = 0; i < circles.cols(); i++) {
				double vCircle[] = circles.get(0, i);
				Point center = new Point(vCircle[0], vCircle[1]);
				int radius = (int) Math.round(vCircle[2]);
				Core.circle(src02, center, 3, new Scalar(0, 255, 0), -1, 8, 0);
				Core.circle(src02, center, radius, new Scalar(0, 0, 255), 3, 8, 0);
				anchor02.x = vCircle[0] + srcCols / 2;
				anchor02.y = vCircle[1];
			}
		}
		destPath = Constants.PATH + Constants.DEST_IMAGE_PATH + "rect_cc2.png";
		Highgui.imwrite(destPath, src02);

		Imgproc.HoughCircles(source3, circles, Imgproc.CV_HOUGH_GRADIENT, 1.0, 300 / 8, 200, 90, 10, 50);// 霍夫变换检测圆
		System.out.println(circles.cols());
		if (circles.cols() > 0) {
			for (int i = 0; i < circles.cols(); i++) {
				double vCircle[] = circles.get(0, i);
				Point center = new Point(vCircle[0], vCircle[1]);
				int radius = (int) Math.round(vCircle[2]);
				Core.circle(src03, center, 3, new Scalar(0, 255, 0), -1, 8, 0);
				Core.circle(src03, center, radius, new Scalar(0, 0, 255), 3, 8, 0);
				anchor03.x = vCircle[0];
				anchor03.y = vCircle[1] + srcRows / 2;
			}
		}
		destPath = Constants.PATH + Constants.DEST_IMAGE_PATH + "rect_cc3.png";
		Highgui.imwrite(destPath, src03);

		Imgproc.HoughCircles(source4, circles, Imgproc.CV_HOUGH_GRADIENT, 1.0, 300 / 8, 200, 90, 10, 50);// 霍夫变换检测圆
		System.out.println(circles.cols());
		if (circles.cols() > 0) {
			for (int i = 0; i < circles.cols(); i++) {
				double vCircle[] = circles.get(0, i);
				Point center = new Point(vCircle[0], vCircle[1]);
				int radius = (int) Math.round(vCircle[2]);
				Core.circle(src04, center, 3, new Scalar(0, 255, 0), -1, 8, 0);
				Core.circle(src04, center, radius, new Scalar(0, 0, 255), 3, 8, 0);
				anchor04.x = vCircle[0] + srcCols / 2;
				anchor04.y = vCircle[1] + srcRows / 2;
			}
		}
		destPath = Constants.PATH + Constants.DEST_IMAGE_PATH + "rect_cc4.png";
		Highgui.imwrite(destPath, src04);

	}


}