matchTemplate opencv无法正常工作，如opencv文档所示

I am struggling with the problem as IN the image that I have captured from camera , I need to find the existence and location of some patterns.

我正在努力解决这个问题,因为在我从相机拍摄的图像中,我需要找到一些模式的存在和位置。

For this I found to use matchTemplate method of opencv.I used the images used in the sample of opencv and wrote the code but the result is different.

为此,我发现使用opencv的matchTemplate方法。我使用了opencv样本中使用的图像并编写了代码但结果却不同。

http://opencv.itseez.com/doc/tutorials/imgproc/histograms/template_matching/template_matching.html

This is the link which tell us about matchTemplate.

这是告诉我们matchTemplate的链接。

When I implemented it it shows the result:-

当我实现它时,它显示了结果: -

My code is below:-

我的代码如下: -

-(void)matchPatchNet
{
    IplImage    *res;
    CvPoint     minloc, maxloc;
    double      minval, maxval;
    int         img_width, img_height;
    int         tpl_width, tpl_height;
    int         res_width, res_height;


    NSString *pathPatron = [[NSBundle mainBundle] pathForResource:@"timage" ofType:@"jpg"];

    UIImage *tim = [UIImage imageWithContentsOfFile:pathPatron];
    NSString *pathPatron2 = [[NSBundle mainBundle] pathForResource:@"simage" ofType:@"jpg"];

    UIImage *tim2 = [UIImage imageWithContentsOfFile:pathPatron2];

    IplImage *img = [self CreateIplImageFromUIImage:tim2];//

    IplImage *tpl = [self CreateIplImageFromUIImage:tim];
    cv::Mat forground1 = [tim2 CVMat];

    cv::Mat forground2 = [tim CVMat];
    img_width  = img->width;
    img_height = img->height;
    tpl_width  = tpl->width;
    tpl_height = tpl->height;
    res_width  = img_width - tpl_width + 1;
    res_height = img_height - tpl_height + 1;    
    res = cvCreateImage( cvSize( res_width, res_height ), IPL_DEPTH_32F, 1 );

    cvMatchTemplate( img, tpl, res, CV_TM_CCOEFF_NORMED );

    UIImage *ipala=[self UIImageFromIplImage:res];
    cv::Mat forground3 = [ipala CVMat];
    cv::normalize(forground3, forground3, 0, 1, cv::NORM_MINMAX, CV_8UC1);

    cvMinMaxLoc( res, &minval, &maxval, &minloc, &maxloc, 0 );    

    cvRectangle( img, 
                cvPoint( maxloc.x, maxloc.y ), 
                cvPoint( maxloc.x + tpl_width, maxloc.y + tpl_height ),
                cvScalar( 0, 255, 0, 0 ), 1, 0, 0 ); 
    /* display images */
    self.imageView.image = [self UIImageFromIplImage:img]; 
    cvReleaseImage(&img);
    cvReleaseImage(&tpl);
    cvReleaseImage(&res);
}

Please tell me what am I doing wrong .Please help me.

请告诉我我做错了什么。请帮帮我。

Thanks in advance

提前致谢

1 个解决方案

#1

I strongly suggest you to use the C++ interface and the current docs, which you'll find here: OpenCV v2.4.2 documentation

我强烈建议您使用C ++界面和当前的文档,您可以在这里找到:OpenCV v2.4.2文档

Get the lastest Version of OpenCV for iOS here: OpenCV for iOS and drop it into your project and include this into your project prefixes:

在这里获取最新版本的OpenCV for iOS:OpenCV for iOS并将其放入您的项目中并将其包含在您的项目前缀中:

ExampleApp-Prefix.pch:

#ifdef __cplusplus
    #import <opencv2/opencv.hpp>
#endif

Use this to "convert" UIImages to cv::Mats:

用它来“转换”UIImages到cv :: Mats:

UIImageCVMatConverter.h:

//
//  UIImageCVMatConverter.h
//

#import <Foundation/Foundation.h>

@interface UIImageCVMatConverter : NSObject {

}

+ (UIImage *)UIImageFromCVMat:(cv::Mat)cvMat;
+ (UIImage *)UIImageFromCVMat:(cv::Mat)cvMat withUIImage:(UIImage*)image;
+ (cv::Mat)cvMatFromUIImage:(UIImage *)image;
+ (cv::Mat)cvMatGrayFromUIImage:(UIImage *)image;
+ (UIImage *)scaleAndRotateImageFrontCamera:(UIImage *)image;
+ (UIImage *)scaleAndRotateImageBackCamera:(UIImage *)image;

@end

UIImageCVMatConverter.mm:

//
//  UIImageCVMatConverter.m
//

#import "UIImageCVMatConverter.h"

@implementation UIImageCVMatConverter

+ (UIImage *)UIImageFromCVMat:(cv::Mat)cvMat withUIImage:(UIImage*)image;
{
  CGColorSpaceRef colorSpace = CGImageGetColorSpace( image.CGImage );
    CGFloat cols = image.size.width;
    CGFloat rows = image.size.height;
    CGFloat widthStep = image.size.width;
    CGContextRef contextRef = CGBitmapContextCreate( NULL, cols, rows, 8, widthStep*4, colorSpace, kCGImageAlphaNoneSkipLast | kCGBitmapByteOrderDefault );
    CGContextDrawImage( contextRef, CGRectMake(0, 0, cols, rows), image.CGImage );
    CGContextSetRGBStrokeColor( contextRef, 1, 0, 0, 1 );
    CGImageRef cgImage = CGBitmapContextCreateImage( contextRef );
    UIImage* result = [UIImage imageWithCGImage:cgImage];
    CGImageRelease( cgImage );
    CGContextRelease( contextRef );
    CGColorSpaceRelease( colorSpace );
    return result;
}

+(UIImage *)UIImageFromCVMat:(cv::Mat)cvMat
{
    NSData *data = [NSData dataWithBytes:cvMat.data length:cvMat.elemSize()*cvMat.total()];
    CGColorSpaceRef colorSpace;
    if ( cvMat.elemSize() == 1 ) {
        colorSpace = CGColorSpaceCreateDeviceGray();
    }
    else {
        colorSpace = CGColorSpaceCreateDeviceRGB();
    }
    CGDataProviderRef provider = CGDataProviderCreateWithCFData( (__bridge CFDataRef)data );
    CGImageRef imageRef = CGImageCreate( cvMat.cols, cvMat.rows, 8, 8 * cvMat.elemSize(), cvMat.step[0], colorSpace, kCGImageAlphaNone|kCGBitmapByteOrderDefault, provider, NULL, false, kCGRenderingIntentDefault );
    UIImage *finalImage = [UIImage imageWithCGImage:imageRef];
    CGImageRelease( imageRef );
    CGDataProviderRelease( provider );
    CGColorSpaceRelease( colorSpace );
    return finalImage;
}

+ (cv::Mat)cvMatFromUIImage:(UIImage *)image
{
    CGColorSpaceRef colorSpace = CGImageGetColorSpace( image.CGImage );
    CGFloat cols = image.size.width;
    CGFloat rows = image.size.height;
    cv::Mat cvMat( rows, cols, CV_8UC4 );
    CGContextRef contextRef = CGBitmapContextCreate( cvMat.data, cols, rows, 8, cvMat.step[0], colorSpace, kCGImageAlphaNoneSkipLast | kCGBitmapByteOrderDefault );
    CGContextDrawImage( contextRef, CGRectMake(0, 0, cols, rows), image.CGImage );
    CGContextRelease( contextRef );
    CGColorSpaceRelease( colorSpace );
    return cvMat;
}

+ (cv::Mat)cvMatGrayFromUIImage:(UIImage *)image
{
  cv::Mat cvMat = [UIImageCVMatConverter cvMatFromUIImage:image];
  cv::Mat grayMat;
    if ( cvMat.channels() == 1 ) {
        grayMat = cvMat;
  }
    else {
        grayMat = cv :: Mat( cvMat.rows,cvMat.cols, CV_8UC1 );
        cv::cvtColor( cvMat, grayMat, CV_BGR2GRAY );
    }
  return grayMat;
}

+ (UIImage *)scaleAndRotateImageBackCamera:(UIImage *)image
{
  static int kMaxResolution = 640;
  CGImageRef imgRef = image.CGImage;
  CGFloat width = CGImageGetWidth( imgRef );
  CGFloat height = CGImageGetHeight( imgRef );
  CGAffineTransform transform = CGAffineTransformIdentity;
  CGRect bounds = CGRectMake( 0, 0, width, height );
  if ( width > kMaxResolution || height > kMaxResolution ) {
    CGFloat ratio = width/height;
    if ( ratio > 1 ) {
      bounds.size.width = kMaxResolution;
      bounds.size.height = bounds.size.width / ratio;
    }
        else {
      bounds.size.height = kMaxResolution;
      bounds.size.width = bounds.size.height * ratio;
    }
  }
  CGFloat scaleRatio = bounds.size.width / width;
  CGSize imageSize = CGSizeMake( CGImageGetWidth(imgRef), CGImageGetHeight(imgRef) );
  CGFloat boundHeight;
  UIImageOrientation orient = image.imageOrientation;
  switch( orient ) {
    case UIImageOrientationUp:
      transform = CGAffineTransformIdentity;
      break;
    case UIImageOrientationUpMirrored:
      transform = CGAffineTransformMakeTranslation(imageSize.width, 0.0);
      transform = CGAffineTransformScale(transform, -1.0, 1.0);
      break;
    case UIImageOrientationDown:
      transform = CGAffineTransformMakeTranslation(imageSize.width, imageSize.height);
      transform = CGAffineTransformRotate(transform, M_PI);
      break;
    case UIImageOrientationDownMirrored:
      transform = CGAffineTransformMakeTranslation(0.0, imageSize.height);
      transform = CGAffineTransformScale(transform, 1.0, -1.0);
      break;
    case UIImageOrientationLeftMirrored:
      boundHeight = bounds.size.height;
      bounds.size.height = bounds.size.width;
      bounds.size.width = boundHeight;
      transform = CGAffineTransformMakeTranslation(imageSize.height, imageSize.width);
      transform = CGAffineTransformScale(transform, -1.0, 1.0);
      transform = CGAffineTransformRotate(transform, 3.0 * M_PI / 2.0);
      break;
    case UIImageOrientationLeft:
      boundHeight = bounds.size.height;
      bounds.size.height = bounds.size.width;
      bounds.size.width = boundHeight;
      transform = CGAffineTransformMakeTranslation(0.0, imageSize.width);
      transform = CGAffineTransformRotate(transform, 3.0 * M_PI / 2.0);
      break;
    case UIImageOrientationRightMirrored:
      boundHeight = bounds.size.height;
      bounds.size.height = bounds.size.width;
      bounds.size.width = boundHeight;
      transform = CGAffineTransformMakeScale(-1.0, 1.0);
      transform = CGAffineTransformRotate(transform, M_PI / 2.0);
      break;
    case UIImageOrientationRight:
      boundHeight = bounds.size.height;
      bounds.size.height = bounds.size.width;
      bounds.size.width = boundHeight;
      transform = CGAffineTransformMakeTranslation(imageSize.height, 0.0);
      transform = CGAffineTransformRotate(transform, M_PI / 2.0);
      break;
    default:
      [NSException raise:NSInternalInconsistencyException format:@"Invalid image orientation"];
  }
  UIGraphicsBeginImageContext( bounds.size );
  CGContextRef context = UIGraphicsGetCurrentContext();
  if ( orient == UIImageOrientationRight || orient == UIImageOrientationLeft ) {
    CGContextScaleCTM( context, -scaleRatio, scaleRatio );
    CGContextTranslateCTM( context, -height, 0 );
  }
    else {
    CGContextScaleCTM( context, scaleRatio, -scaleRatio );
    CGContextTranslateCTM( context, 0, -height );
  }
  CGContextConcatCTM( context, transform );
  CGContextDrawImage( UIGraphicsGetCurrentContext(), CGRectMake(0, 0, width, height), imgRef );
  UIImage *returnImage = UIGraphicsGetImageFromCurrentImageContext();
  UIGraphicsEndImageContext();
  return returnImage;
}

+ (UIImage *)scaleAndRotateImageFrontCamera:(UIImage *)image
{
  static int kMaxResolution = 640;
  CGImageRef imgRef = image.CGImage;
  CGFloat width = CGImageGetWidth(imgRef);
  CGFloat height = CGImageGetHeight(imgRef);
  CGAffineTransform transform = CGAffineTransformIdentity;
  CGRect bounds = CGRectMake( 0, 0, width, height);
  if (width > kMaxResolution || height > kMaxResolution) {
    CGFloat ratio = width/height;
    if (ratio > 1) {
      bounds.size.width = kMaxResolution;
      bounds.size.height = bounds.size.width / ratio;
    } else {
      bounds.size.height = kMaxResolution;
      bounds.size.width = bounds.size.height * ratio;
    }
  }

  CGFloat scaleRatio = bounds.size.width / width;
  CGSize imageSize = CGSizeMake(CGImageGetWidth(imgRef), CGImageGetHeight(imgRef));
  CGFloat boundHeight;
  UIImageOrientation orient = image.imageOrientation;
  switch(orient) {
    case UIImageOrientationUp:
      transform = CGAffineTransformIdentity;
      break;
    case UIImageOrientationUpMirrored:
      transform = CGAffineTransformMakeTranslation(imageSize.width, 0.0);
      transform = CGAffineTransformScale(transform, -1.0, 1.0);
      break;
    case UIImageOrientationDown:
      transform = CGAffineTransformMakeTranslation(imageSize.width, imageSize.height);
      transform = CGAffineTransformRotate(transform, M_PI);
      break;
    case UIImageOrientationDownMirrored:
      transform = CGAffineTransformMakeTranslation(0.0, imageSize.height);
      transform = CGAffineTransformScale(transform, 1.0, -1.0);
      break;
    case UIImageOrientationLeftMirrored:
      boundHeight = bounds.size.height;
      bounds.size.height = bounds.size.width;
      bounds.size.width = boundHeight;
      transform = CGAffineTransformMakeTranslation(imageSize.height, imageSize.width);
      transform = CGAffineTransformScale(transform, -1.0, 1.0);
      transform = CGAffineTransformRotate(transform, 3.0 * M_PI / 2.0);
      break;
    case UIImageOrientationLeft:
      boundHeight = bounds.size.height;
      bounds.size.height = bounds.size.width;
      bounds.size.width = boundHeight;
      transform = CGAffineTransformMakeTranslation(0.0, imageSize.width);
      transform = CGAffineTransformRotate(transform, 3.0 * M_PI / 2.0);
      break;
        case UIImageOrientationRight:
    case UIImageOrientationRightMirrored:
      boundHeight = bounds.size.height;
      bounds.size.height = bounds.size.width;
      bounds.size.width = boundHeight;
      transform = CGAffineTransformMakeScale(-1.0, 1.0);
      transform = CGAffineTransformRotate(transform, M_PI / 2.0);
      break;
        default:
      [NSException raise:NSInternalInconsistencyException format:@"Invalid image orientation"];
  }
  UIGraphicsBeginImageContext( bounds.size );
  CGContextRef context = UIGraphicsGetCurrentContext();
  if ( orient == UIImageOrientationRight || orient == UIImageOrientationLeft ) {
    CGContextScaleCTM(context, -scaleRatio, scaleRatio);
    CGContextTranslateCTM(context, -height, 0);
  }
    else {
    CGContextScaleCTM(context, scaleRatio, -scaleRatio);
    CGContextTranslateCTM(context, 0, -height);
  }
  CGContextConcatCTM( context, transform );
  CGContextDrawImage( UIGraphicsGetCurrentContext(), CGRectMake(0, 0, width, height), imgRef );
  UIImage *returnImage = UIGraphicsGetImageFromCurrentImageContext();
  UIGraphicsEndImageContext();
  return returnImage;
}

@end

This is code I used to find several marker inside an image and push their center points into a std::vector:

这是我用来在图像中找到几个标记并将它们的中心点推入std :: vector的代码:

#import "UIImageCVMatConverter.h"

...

cv::Mat src_img;
cv::Mat result_mat;
cv::Mat debug_img;
cv::Mat template_img;

NSArray *markerImages = [NSArray arrayWithObjects:@"marker-1.png", nil];

std::vector<cv::Point> markerPoints;

// input image
src_img = [UIImageCVMatConverter cvMatFromUIImage:cameriaInputImage];
cv::cvtColor(src_img, debug_img, CV_GRAY2BGR);

for (NSString *marker in markerImages) {
    template_img = [UIImageCVMatConverter cvMatFromUIImage:[UIImage imageNamed:marker]];
    cv::cvtColor(template_img, template_img, CV_GRAY2BGR);

    int match_method = CV_TM_CCORR_NORMED;

    cv::matchTemplate(src_img, template_img, result_mat, match_method);

    cv::normalize(result_mat, result_mat, 0, 1, cv::NORM_MINMAX, -1, cv::Mat());

    double minVal;
    double maxVal;

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

    cv::Point top_left = matchLoc;
    cv::Point bottom_right = cv::Point(matchLoc.x + template_img.cols , matchLoc.y + template_img.rows);
    cv::Point center = cv::Point(0,0);

    center.x = (bottom_right.x + top_left.x) / 2;
    center.y = (bottom_right.y + top_left.y) / 2;

    markerPoints.push_back(center);
}

I hope that helps …

我希望有帮助......