Question

我试图在某些样品中检测到品牌标识，但我无法获得任何可用的结果。使用cvBlobs我发现所有相关的红色图像区域没有任何问题，但现在我必须了解哪些有ULKER徽标。我认为一个简单的 SURF alg。将完成这项工作（通过寻找其他类似计划的成功）但结果远非好。此外，我尝试在进行任何处理之前应用cvCanny以获得徽标的边缘表示并消除背景，但没有区别。你能帮忙告诉我我做错了什么吗？ logo，sample和代码

int find(IplImage* image, IplImage* object)
{
    CvMemStorage* storage = cvCreateMemStorage(0);

    cvNamedWindow("Object", 1);
    cvNamedWindow("Object Correspond", 1);

    static CvScalar colors[] =
    {
            {{0,0,255}},
            {{0,128,255}},
            {{0,255,255}},
            {{0,255,0}},
            {{255,128,0}},
            {{255,255,0}},
            {{255,0,0}},
            {{255,0,255}},
            {{255,255,255}}
    };

    CvSeq* objectKeypoints = 0, *objectDescriptors = 0;
    CvSeq* imageKeypoints = 0, *imageDescriptors = 0;
    int i;
    CvSURFParams params = cvSURFParams(100, 0);

    IplImage *objectGray = cvCreateImage(cvSize(object->width, object->height), object->depth,1);
    IplImage *objectSobel = cvCreateImage(cvSize(object->width, object->height), IPL_DEPTH_16S,1);
    cvCvtColor( object, objectGray, CV_BGR2GRAY );

    cvCanny(objectGray,objectGray,50,20,3);
    //cvConvertScale(objectSobel,objectGray);

    IplImage *imageGray = cvCreateImage(cvSize(image->width, image->height), image->depth,1);
    IplImage *imageSobel = cvCreateImage(cvSize(image->width, image->height), IPL_DEPTH_16S,1);
    cvCvtColor( image, imageGray, CV_BGR2GRAY );
    cvCanny(imageGray,imageGray,50,10,3);
    //cvSobel(imageGray,imageSobel,dx,dy,ks);
    //cvConvertScale(imageSobel,imageGray);

    double tt = (double)cvGetTickCount();
    cvExtractSURF( objectGray, 0, &objectKeypoints, &objectDescriptors, storage, params ,0);

    printf("Object Descriptors: %d\n", objectDescriptors->total);
    printf("Object Keypoints: %d\n", objectKeypoints->total);

    cvExtractSURF( imageGray, 0, &imageKeypoints, &imageDescriptors, storage, params ,0);
    printf("Image Descriptors: %d\n", imageDescriptors->total);
    printf("Image Keypoints: %d\n", imageKeypoints->total);
    tt = (double)cvGetTickCount() - tt;

    printf( "Extraction time = %gms\n", tt/(cvGetTickFrequency()*1000.));

    CvPoint src_corners[4] = {{0,0}, {objectGray->width,0}, {objectGray->width, objectGray->height}, {0, objectGray->height}};
    CvPoint dst_corners[4];     

    if( locatePlanarObject( objectKeypoints, objectDescriptors, imageKeypoints,
            imageDescriptors, src_corners, dst_corners ))
    {
        for( i = 0; i < 4; i++ )
        {
            CvPoint r1 = dst_corners[i%4];
            CvPoint r2 = dst_corners[(i+1)%4];
            cvLine( image, cvPoint(r1.x, r1.y ),
                    cvPoint(r2.x, r2.y ), colors[6] );
        }
    }
    vector<int> ptpairs;

    flannFindPairs( objectKeypoints, objectDescriptors, imageKeypoints, imageDescriptors, ptpairs );
    for( i = 0; i < (int)ptpairs.size(); i += 2 )
    {
        CvSURFPoint* r1 = (CvSURFPoint*)cvGetSeqElem( objectKeypoints, ptpairs[i] );
        CvSURFPoint* r2 = (CvSURFPoint*)cvGetSeqElem( imageKeypoints, ptpairs[i+1] );
        CvPoint center;
        int radius;
        center.x = cvRound(r2->pt.x);
        center.y = cvRound(r2->pt.y);
        radius = cvRound(r2->size*1.2/9.*2);
        cvCircle( image, center, radius, colors[0], 1, 8, 6 );
    }


    cvShowImage( "Object Correspond", image );
    cvMoveWindow( "Object Correspond",400,400);
    for( i = 0; i < objectKeypoints->total; i++ )
    {
        CvSURFPoint* r = (CvSURFPoint*)cvGetSeqElem( objectKeypoints, i );
        CvPoint center;
        int radius;
        center.x = cvRound(r->pt.x);
        center.y = cvRound(r->pt.y);
        radius = cvRound(r->size*1.2/9.*2);
        cvCircle( object, center, radius, colors[0], 1, 8, 6 );
    }
    cvShowImage( "Object", object );   
    cvWaitKey(0);

    cvDestroyWindow("Object");
    cvDestroyWindow("Object Correspond");
    return 0;
}

使用opencv进行徽标检测

0 个答案: