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#include “stdafx.h”

#include <opencv2/opencv.hpp>

#include <opencv2\features2d.hpp>

#include <opencv_modules.hpp>

//#include <opencv2/nonfree/nonfree.hpp>

//#include <opencv2/nonfree/features2d.hpp>

using namespace cv;

void main()

{


Mat image = imread(“features.jpg”);

Mat descriptors;

vector<KeyPoint> keypoints;

// 新版本2.4.0方法

//initModule_nonfree();

//Ptr<FeatureDetector> detector = FeatureDetector::create( “GFTT” );

// detector->detect( image, keypoints );

// 2.3.1方法

//  SiftFeatureDetector sift2(0.06f, 10.0);

//  sift2.detect(imageGray, keypoints);

SimpleBlobDetector::Params params;

//params.minThreshold = 10;

//params.maxThreshold = 100;

//params.thresholdStep = 10;

//params.minArea = 10;

//params.minConvexity = 0.3;

//params.minInertiaRatio = 0.01;

//params.maxArea = 8000;

//params.maxConvexity = 10;

//params.filterByColor = false;

//params.filterByCircularity = false;

SimpleBlobDetector blobDetector(params);

blobDetector.create(“SimpleBlob”);

blobDetector.detect(image, keypoints);

drawKeypoints(image, keypoints, image, Scalar(255, 0, 0));

imshow(“Blob”, image);

imwrite(“features_blob.png”, image);

waitKey();

}