OpenCV cvMatchTemplate same image size -


i trying find normalized cross correlation between 2 1-by-1 images. in order this, i'm using cvmatchtemplate. after using cvminmaxloc, maxval returns 1.00000 2 1-by-1 images.

so tried bypass trying use cvmatchtemplate on 6-by-3 image , 3-by-3 image. each original pixel, expanded out 6-by-3 , 3-by-3 see if provide better results. doesn't. maxval still returns 1.000000. there better way find ncc between 2 pixels?

            cvsetimageroi(img, cvrect(curwidth, curheight, 1, 1));             iplimage* temproi = cvcreateimage(cvsize(1, 1), img->depth, img->nchannels);             cvcopy(img, temproi);             cvresetimageroi(img);              iplimage* currentroi = cvcreateimage(cvsize(6,3), img->depth, img->nchannels);             (int = 0; < 3; i++) {                 (int j = 0; j < 6; j++) {                     cvsetimageroi(currentroi, cvrect(j, i, 1, 1));                     cvcopy(temproi, currentroi);                     cvresetimageroi(currentroi);                 }             }              cvreleaseimage(&temproi);             cvsetimageroi(opp_img, cvrect(opp_loc, curheight, 1, 1));             temproi = cvcreateimage(cvsize(1, 1), opp_img->depth, opp_img->nchannels);             cvcopy(opp_img, temproi);             cvresetimageroi(opp_img);              iplimage* centerroi = cvcreateimage(cvsize(3,3), opp_img->depth, opp_img->nchannels);             (int = 0; < 3; i++) {                 (int j = 0; j < 3; j++) {                     cvsetimageroi(centerroi, cvrect(j, i, 1, 1));                     cvcopy(temproi, centerroi);                     cvresetimageroi(centerroi);                 }             }             iplimage *re = cvcreateimage(cvsize(4, 1), ipl_depth_32f, 1);             cvzero(re);             cvmatchtemplate(currentroi, centerroi, re, cv_tm_ccorr_normed);             cvminmaxloc(re, &minval, &maxval, &minloc, &maxloc);

it possible ncc on 1-by-1 images or images same image size, not useful usually. if search template t in image i, result r dimensions - t + 1 , if images same size, result 1x1. if search minmax location in image size(1x1) , return 1.000 expected.


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