检查iOS中图像中子图像的存在 [英] Check presence of subimage in image in iOS

问题描述

我有2张图片，比如lowerImage和largerImage。现在，我想检查，smallImage是greaterImage的一部分（或子图像）。我没有得到如何检查。我想在iOS中这么整个东西。在gogling后，我得到使用openCV库是最好的库使用这样的东西。但我没有得到如何使用openCV库来执行我的任务。

I have 2 images, say smallerImage and largerImage. Now, I want to check that does smallerImage is part(or subimage) of largerImage or not. I am not getting how to check that. I want to so this whole stuff in iOS. After gogling, i got that using openCV library is best library to use for such a stuff. But i am not getting how to use openCV library to perform my task.

简而言之，我想知道，

1）什么是不同的技术/方法/算法查找/检查更大图像中的子图像

1) What are the different techniques/methods/algorithms to find/check subimage in larger image

2）如何使用openCV Library执行（1）（即如何使用它来检查较大图像中的子图像） / p>

2) How to use openCV Library to perform (1).(i.e. how to use it to check subimage in larger image)

推荐答案

您可以使用OpennCV模板匹配算法。

You can use OpennCV Template Matching algorithm..

从 https://https://www.hp.com/下载opencv2.framework。 //github.com/Fl0p/OpenCV-iOS

从 https://github.com/aptogo/OpenCVForiPhone/tree/master/OpenCVClient

导入文件opencv2 / nonfree / nonfree.hpp，opencv2 / highgui / highgui.hpp，opencv2 / calib3d / calib3d.hpp，UIImage + OpenCV.h

import files opencv2/nonfree/nonfree.hpp, opencv2/highgui/highgui.hpp, opencv2/calib3d/calib3d.hpp, UIImage+OpenCV.h

匹配的图片。

-(BOOL) matchImages:(UIImage*)largerImage Image2:(UIImage*)subImage
{

 cv::Mat tempMat1 = [largerImage CVMat];
 cv::Mat tempMat2 = [subImage CVMat];

 cv::Mat result;


 int match_method = CV_TM_SQDIFF_NORMED;
 //cv::cvtColor(tempMat1, debug, CV_GRAY2BGR);
 //cv::cvtColor(tempMat1, tempMat1, cv::COLOR_RGB2GRAY);
 //cv::cvtColor(tempMat2, tempMat2, cv::COLOR_RGB2GRAY);

 int result_cols =  tempMat1.cols - tempMat2.cols + 1;
 int result_rows = tempMat1.rows - tempMat2.rows + 1;

 result.create( result_cols, result_rows, CV_32FC1 );


 /// Do the Matching and Normalize
 cv::matchTemplate( tempMat1,tempMat2 ,result,match_method);

 double minVal; double maxVal;
 cv::Point minLoc, maxLoc, matchLoc;
 cv::minMaxLoc(result, &minVal, &maxVal, &minLoc, &maxLoc, cv::Mat() );
 if( match_method == CV_TM_SQDIFF || match_method == CV_TM_SQDIFF_NORMED ) matchLoc = minLoc;
 else matchLoc = maxLoc;

//NSLog(@"%d %d",tempMat1.cols,tempMat1.rows);
NSLog(@"%f %f",minVal,maxVal);

 if (minVal < 0.25) {

     NSLog(@"success");

     //cv::rectangle(tempMat1,matchLoc,cv::Point(matchLoc.x + tempMat2.cols , matchLoc.y + tempMat2.rows),CV_RGB(255,0,0),3);

     //UIImage *resImage = [[UIImage alloc] initWithCVMat:tempMat1];
     //UIImageView * imageview = [[UIImageView alloc] initWithImage:resImage];
     //[imageview setFrame:CGRectMake(0, 0, resImage.size.width, resImage.size.height)];
     //[self.view addSubview:imageview];

     return YES;
 }
 else {

    return NO;
 }
}

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