Opencv learning log 27 -- chip positioning

Preface

This article focuses on opencv Application of chip positioning in image processing .

One 、 Chip positioning

// Chip positioning 
#include <opencv2/opencv.hpp>
#include <iostream>
using namespace cv;
using namespace std;
int main()
{
    
	cv::Mat dst;
	cv::Mat dstbin;
	cv::Mat dsttemp;
	cv::Mat resMat;
	cv::Mat Matstate;
	cv::Mat center;
	cv::Mat src = imread("C://Users//john//Desktop//1.jpg");
	cv::Mat srcgray = imread("C://Users//john//Desktop//1.jpg", 0);
	threshold(srcgray, dstbin, 100, 255, THRESH_OTSU);  // Dajin law 
	cv::imshow("dstbin", dstbin);
	src.copyTo(dst);  
	//bitwise_not(dstbin, dsttemp);
	vector<vector<Point>> contours;

	vector<Vec4i> hirearchy;
	findContours(dstbin, contours, CV_RETR_LIST, CV_CHAIN_APPROX_NONE);
	int num = contours.size();

	//cout << num << endl;
	Point2f rect[4];
	for (int i = 0; i < num; i++)
	{
    
		
		RotatedRect rbox = minAreaRect(contours[i]);
		///cout << rbox << endl;
		int area = contourArea(contours[i]);// Calculate the contour area 
		rbox.points(rect);  // Copy the four ends of the smallest circumscribed rectangle to rect Array 
		if (fabs(rbox.size.width * 1.0 / rbox.size.height - 1) < 0.2&&area>=100)
		{
    
			drawContours(dst, contours, i, Scalar(255, 0, 0), -1, 8);
			
		    for (int j = 0; j<4; j++)
			{
    
		         line(dst, rect[j], rect[(j + 1) % 4], Scalar(255, 255, 255), 2, 8);  // Draw the smallest outer edge of each rectangle 
		    }
		}
		
	}

	cv::imshow("dsttemp", dstbin);
	cv::imshow("dst", dst);

	waitKey(0);
}

summary

1. The code can run directly , If you don't understand, please leave a message .
2. Missing material pictures , Follow up, thank you .