自学笔记：opencv简单的缺陷检测并标记（最小外接矩形）

代码比较乱，自己也是初学。
最近在看视频教学，所以用的是某站上面教学视频的配套代码。
教学视频主要是C/C++在VS环境下的编程，某站上观看量比较多的一个教学视频，下面贴上链接。
我检测的是一块白布上面的黑点，因此很容易检测出来。
某站教学视频链接

//阈值调为90的时候能够检测出污点
#include 
#include 
#include 

using namespace std;
using namespace cv;
Mat src, gray_src, drawImg;
int threshold_v = 170;
int threshold_max = 255;
const char* output_win = "rectangle-demo";
const char* binary_win = "binary image";
RNG rng(12345);
void Contours_Callback(int, void*);
int main(int argc, char** argv) {
	src = imread("E:/spot.jpg");//文件路径设置
	if (!src.data) {
		printf("could not load image...\n");
		return -1;
	}
	cvtColor(src, gray_src, CV_BGR2GRAY);
	blur(gray_src, gray_src, Size(3, 3), Point(-1, -1));

	const char* source_win = "input image";
	namedWindow(source_win, 0);
	namedWindow(output_win, 0);
	imshow(source_win, src);

	createTrackbar("Threshold Value:", output_win, &threshold_v, threshold_max, Contours_Callback);
	Contours_Callback(0, 0);

	waitKey(0);
	return 0;
}

void Contours_Callback(int, void*) {
	Mat binary_output;
	vector> contours;
	vector hierachy;
	threshold(gray_src, binary_output, threshold_v, threshold_max, THRESH_BINARY);
	//膨胀再腐蚀
	Mat element = getStructuringElement(MORPH_RECT, Size(11, 11), Point(-1, -1)); //定义结构元素
	dilate(binary_output, binary_output, element);
	namedWindow("dilate", 0);
	imshow("dilate", binary_output);
	erode(binary_output, binary_output, element);
	namedWindow("erode", 0);
	imshow("erode", binary_output);

	namedWindow(binary_win, 0);
	imshow("binary image", binary_output);
	findContours(binary_output, contours, hierachy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(-1, -1));

	vector> contours_ploy(contours.size());
	vector ploy_rects(contours.size());
	vector ccs(contours.size());
	vector radius(contours.size());

	vector minRects(contours.size());
	vector myellipse(contours.size());

	for (size_t i = 0; i < contours.size(); i++) {
		approxPolyDP(Mat(contours[i]), contours_ploy[i], 3, true);
		ploy_rects[i] = boundingRect(contours_ploy[i]);
		/*minEnclosingCircle(contours_ploy[i], ccs[i], radius[i]);*/
		//if (contours_ploy[i].size() > 5) {
		//	myellipse[i] = fitEllipse(contours_ploy[i]);
		//	minRects[i] = minAreaRect(contours_ploy[i]);
		//}
	}

	// draw it
	src.copyTo(drawImg);
	Point2f pts[4];
	for (size_t t = 0; t < contours.size(); t++) {
		Scalar color = Scalar(rng.uniform(0, 255), rng.uniform(0, 255), rng.uniform(0, 255));
		rectangle(drawImg, ploy_rects[t], color, 2, 8);
		/*circle(drawImg, ccs[t], radius[t], color, 2, 8);*/
		//if (contours_ploy[t].size() > 5) {
		//	ellipse(drawImg, myellipse[t], color, 1, 8);
		//	minRects[t].points(pts);
		//	for (int r = 0; r < 4; r++) {
		//		line(drawImg, pts[r], pts[(r + 1) % 4], color, 1, 8);
		//	}
		//}
	}

	imshow(output_win, drawImg);
	return;
}