gpt4 book ai didi

opencv - 将模板图像(缩放)匹配到主图像/大图像

转载 作者:太空宇宙 更新时间:2023-11-03 20:53:02 28 4
gpt4 key购买 nike

我想在主图像中查找/检查子图像/模板图像并想知道它的坐标,

我已经使用以下链接中给出的代码来实现它,

Check presence of subimage in image in iOS

如果模板图像的大小与较大图像的匹配部分的大小完全相同,则工作正常。

但是,如果子图像被缩小或放大,而不是匹配较大图像的一部分,则无法正确给出结果。

最佳答案

使用 OpenCV 特征检测。它比模板匹配更准确..

请尝试使用此代码..

-(void)featureDetection:(UIImage*)largerImage withImage:(UIImage*)subImage
{
cv::Mat tempMat1 = [largerImage CVMat];
cv::Mat tempMat2 = [subImage CVMat];

cv::cvtColor(tempMat1, tempMat1, CV_RGB2GRAY);
cv::cvtColor(tempMat2, tempMat2, CV_RGB2GRAY);

if( !tempMat1.data || !tempMat2.data ) {
return;
}

//-- Step 1: Detect the keypoints using SURF Detector
int minHessian = 25;

cv::SurfFeatureDetector detector( minHessian ); // More Accurate bt take more time..
//cv::FastFeatureDetector detector( minHessian ); //Less Accurate bt take less time..

std::vector<cv::KeyPoint> keypoints_1, keypoints_2;

detector.detect( tempMat1, keypoints_1 );
detector.detect( tempMat2, keypoints_2 );

//-- Step 2: Calculate descriptors (feature vectors)
cv::SurfDescriptorExtractor extractor;

cv::Mat descriptors_1, descriptors_2;

extractor.compute( tempMat1, keypoints_1, descriptors_1 );
extractor.compute( tempMat2, keypoints_2, descriptors_2 );

std::vector<cv::Point2f> obj_corners(4);

//Get the corners from the object
obj_corners[0] = (cvPoint(0,0));
obj_corners[1] = (cvPoint(tempMat2.cols,0));
obj_corners[2] = (cvPoint(tempMat2.cols,tempMat2.rows));
obj_corners[3] = (cvPoint(0, tempMat2.rows));

//-- Step 3: Matching descriptor vectors with a brute force matcher
//cv::BruteForceMatcher < cv::L2<float> > matcher;
cv::FlannBasedMatcher matcher;
//std::vector< cv::DMatch > matches;
std::vector<cv::vector<cv::DMatch > > matches;

std::vector<cv::DMatch > good_matches;
std::vector<cv::Point2f> obj;
std::vector<cv::Point2f> scene;
std::vector<cv::Point2f> scene_corners(4);
cv::Mat H;

matcher.knnMatch( descriptors_2, descriptors_1, matches,2);

for(int i = 0; i < cv::min(tempMat1.rows-1,(int) matches.size()); i++) {

if((matches[i][0].distance < 0.6*(matches[i][1].distance)) && ((int) matches[i].size()<=2 && (int) matches[i].size()>0)) {
good_matches.push_back(matches[i][0]);
}
}
cv::Mat img_matches;
drawMatches( tempMat2, keypoints_2, tempMat1, keypoints_1, good_matches, img_matches );

NSLog(@"good matches %lu",good_matches.size());

if (good_matches.size() >= 4) {

for( int i = 0; i < good_matches.size(); i++ ) {
//Get the keypoints from the good matches
obj.push_back( keypoints_2[ good_matches[i].queryIdx ].pt );
scene.push_back( keypoints_1[ good_matches[i].trainIdx ].pt );
}

H = findHomography( obj, scene, CV_RANSAC );

perspectiveTransform( obj_corners, scene_corners, H);

NSLog(@"%f %f",scene_corners[0].x,scene_corners[0].y);
NSLog(@"%f %f",scene_corners[1].x,scene_corners[1].y);
NSLog(@"%f %f",scene_corners[2].x,scene_corners[2].y);
NSLog(@"%f %f",scene_corners[3].x,scene_corners[3].y);


//Draw lines between the corners (the mapped object in the scene image )
line( tempMat1, scene_corners[0], scene_corners[1], cvScalar(0, 255, 0), 4 );

line( tempMat1, scene_corners[1], scene_corners[2], cvScalar( 0, 255, 0), 4 );

line( tempMat1, scene_corners[2], scene_corners[3], cvScalar( 0, 255, 0), 4 );

line( tempMat1, scene_corners[3], scene_corners[0], cvScalar( 0, 255, 0), 4 );
}

// View matching..

UIImage *resultimage = [UIImage imageWithCVMat:img_matches];
UIImageView *imageview = [[UIImageView alloc] initWithImage:resultimage];
imageview.frame = CGRectMake(0, 0, 320, 240);
[self.view addSubview:imageview];

// View Result

UIImage *resultimage2 = [UIImage imageWithCVMat:tempMat1];
UIImageView *imageview2 = [[UIImageView alloc] initWithImage:resultimage2];
imageview2.frame = CGRectMake(0, 240, 320, 240);
[self.view addSubview:imageview2];
}

关于opencv - 将模板图像(缩放)匹配到主图像/大图像,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/20653044/

28 4 0
Copyright 2021 - 2024 cfsdn All Rights Reserved 蜀ICP备2022000587号
广告合作:1813099741@qq.com 6ren.com