ussdrk's profile - activity

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2014-02-24 01:55:28 -0600	asked a question	Edge Histogram Descriptor EHD opencv Code Please post opencv code for Edge Histogram Descriptor if anybody having it
2013-10-26 07:22:59 -0600	asked a question	Moving Object Detection here is the opencv code showing moving objects but not able to make rectangle around objects please help me get out of this problem
2013-09-10 09:59:51 -0600	commented answer	Grayscale to Lbp image I tried this too But when i am doing feature point extraction on Actual Output image Results are different than when i do on The lbp image which is given as sample I mailed u all images and code Please try to solve.
2013-09-10 09:24:29 -0600	received badge	● Editor (source)
2013-09-10 09:11:31 -0600	commented question	Grayscale to Lbp image @berak I have sample input and output.But after executing i am getting different output. will u please give ur Email Id so that i can mail u images and code.
2013-09-10 09:03:15 -0600	commented question	Grayscale to Lbp image Sorry this is my first time so got confused with tags.
2013-09-10 06:17:10 -0600	asked a question	Grayscale to Lbp image Actual output Desired output Hi friends i am trying to implement paper on Rapid texture Based Moving Object Detection So in this the first step is to convert grayscale image to lbp image so i have written the following code but it is not producing the desired output So Please if anybody having proper code provide it or state correction in my code. int main() { Mat img = cv::imread("im1.jpg"); if (img.empty()) { std::cout << "Cannot open image!" << std::endl; return -1; } Mat greyMat; cvtColor(img, greyMat, CV_BGR2GRAY); Mat lbp=greyMat.clone(); long row=greyMat.rows; long col=greyMat.cols; for(int i=1;i<greyMat.rows;i++) { for(int j=1;j<greyMat.cols;j++) { int cp=(int)greyMat.at<uchar>(i,j); int pp=0; int po=7; if(cp<=(int)greyMat.at<uchar>(i,j+1)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i+1,j+1)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i+1,j)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i+1,j-1)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i,j-1)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i-1,j-1)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i-1,j)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i-1,j+1)) pp+=1*pow(2,po); po--; lbp.at<uchar>(i,j)=pp; } } return 0; }
2013-09-10 06:15:45 -0600	asked a question	GrayScale to LBP image Hi friends i am trying to implement paper on Rapid texture Based Moving Object Detection So in this the first step is to convert grayscale image to lbp image so i have written the following code but it is not producing the desired output So Please if anybody having proper code provide it or state correction in my code. int main() { Mat img = cv::imread("im1.jpg"); if (img.empty()) { std::cout << "Cannot open image!" << std::endl; return -1; } Mat greyMat; cvtColor(img, greyMat, CV_BGR2GRAY); Mat lbp=greyMat.clone(); long row=greyMat.rows; long col=greyMat.cols; for(int i=1;i<greyMat.rows;i++) { for(int j=1;j<greyMat.cols;j++) { int cp=(int)greyMat.at<uchar>(i,j); int pp=0; int po=7; if(cp<=(int)greyMat.at<uchar>(i,j+1)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i+1,j+1)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i+1,j)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i+1,j-1)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i,j-1)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i-1,j-1)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i-1,j)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i-1,j+1)) pp+=1*pow(2,po); po--; lbp.at<uchar>(i,j)=pp; } } return 0; }
2013-09-10 06:13:12 -0600	asked a question	Convert Grayscale to Lbp image Hi friends i am trying to implement paper on Rapid texture Based Moving Object Detection So in this the first step is to convert grayscale image to lbp image so i have written the following code but it is not producing the desired output So Please if anybody having proper code provide it or state correction in my code. int main() { Mat img = cv::imread("im1.jpg"); if (img.empty()) { std::cout << "Cannot open image!" << std::endl; return -1; } Mat greyMat; cvtColor(img, greyMat, CV_BGR2GRAY); Mat lbp=greyMat.clone(); long row=greyMat.rows; long col=greyMat.cols; for(int i=1;i<greyMat.rows;i++) { for(int j=1;j<greyMat.cols;j++) { int cp=(int)greyMat.at<uchar>(i,j); int pp=0; int po=7; if(cp<=(int)greyMat.at<uchar>(i,j+1)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i+1,j+1)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i+1,j)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i+1,j-1)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i,j-1)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i-1,j-1)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i-1,j)) pp+=pow(2,po); po--; if(cp<=(int)greyMat.at<uchar>(i-1,j+1)) pp+=1*pow(2,po); po--; lbp.at<uchar>(i,j)=pp; } } return 0; }