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Opencv learning log 27 -- chip positioning
2022-07-06 16:07:00 【@Spring sauce】
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 .
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