CELLON II(Simple Blob Detector)

SimpleBlobDetector의 옵션 종류

 

실행 소스코드

#include "opencv2/opencv.hpp"
#include <iostream>

using namespace std;
using namespace cv;

int main() {
	Mat img = imread("C:\\Users\\xlfks\\Desktop\\CELLON II\\img\\Galaxy S23 R90.jpg", IMREAD_COLOR);	
	//Galaxy S23, Galaxy S23 vertical, Galaxy S23 L90, Galaxy S23 R90, Galaxy S23 horizontal, Galaxy S23 180
	if (img.empty()) {
		cout << "Could't file open or load" << endl;
		return 0;
	}
	//resize(img, img, Size(img.cols / 2, img.rows / 2));

	Mat gray_img;
	cvtColor(img, gray_img, COLOR_BGR2GRAY);

	// Setup SimpleBlobDetector parameters.
	SimpleBlobDetector::Params params;

	//// Change thresholds
	//params.minThreshold = 10;
	//params.maxThreshold = 200;

	//// Filter by Area.
	params.filterByArea = true;
	params.minArea = 1300;

	//// Filter by Circularity
	//params.filterByCircularity = true;
	//params.minCircularity = 0.1;

	//// Filter by Convexity
	//params.filterByConvexity = true;
	//params.minConvexity = 0.87;

	//// Filter by Inertia
	//params.filterByInertia = true;
	//params.minInertiaRatio = 0.01;

	vector<KeyPoint> keypoints;

	Ptr<SimpleBlobDetector> detector = SimpleBlobDetector::create(params); 
	detector->detect(gray_img, keypoints);

	Mat keypoints_img;
	drawKeypoints(img, keypoints, img, Scalar(0, 0, 255), DrawMatchesFlags::DRAW_RICH_KEYPOINTS);

	circle(img, keypoints[0].pt, 3, Scalar(0, 255, 0), -1);
	circle(img, keypoints[1].pt, 3, Scalar(255, 255, 0), -1);
	circle(img, keypoints[2].pt, 3, Scalar(0, 255, 255), -1);
	
	cout << "keypoints Size : " << keypoints.size() << endl;
	for (int i = 0; i < keypoints.size(); i++) {
		cout << "keypoints[" << i << "] Angle : " << keypoints[i].angle << endl;
	}

	//imshow("keypoints_img", keypoints_img);
	imshow("img", img);
	waitKey(0);
	return 0;
}

 

참조 :

https://dsbook.tistory.com/137

[OpenCV Programming] 코너점 검출

https://stackoverflow.com/questions/8076889/how-to-use-opencv-simpleblobdetector

How to use OpenCV SimpleBlobDetector

https://learnopencv.com/blob-detection-using-opencv-python-c/

Blob Detection Using OpenCV ( Python, C++ ) |