edge-detection

Heroku Cedar-14 stack currently runs a version of ImageMagick (6.7.7-10) that is nearly a year old: Running `identify -version` attached to terminal... up, run.8227 Version: ImageMagick 6.7.7-10 2014-03-06 Q16 http://www.imagemagick.org Copyright: Copyright (C) 1999-2012 ImageMagick Studio LLC Features: OpenMP I want to use the -canny option that performs edge detection in an image, but this was only introduced in a later version of ImageMagick. The only available buildpack for ImageMagick on Heroku does not work on the Cedar-14 stack: https://github.com/mcollina/heroku-buildpack-imagemagick

I've got a task to implement Sobel filter which is, as you know, an image processing filter for edge detection. But unfortunately, I've got no experience in image processing field, to the extent that I don't even know how images are represented in computer. Totally no knowledge in this field. I've read some papers and PDFs but they focus on many topics which I feel that I may not need them for my task. I'd be happy to know your suggestions or if there is any particular paper, PDF, tutorial or quick guide for this purpose. Thank you EDIT: Thank you all :) The result of our work can be

I am looking something like attached image, How can I implement this in iPhoneSDK. Can anybody suggest me some open source API or Algorithm Code to detect the corners of captured image of a document. Some How, I got an open source API called OpenCV which recognize the Human Face very well. I want to use the same API if possible.Now the problem Is how can I make the changes in those static libraries according to my requirement to Scan the Document edges. Alternatively , how to detect for the square/rectangle object in the captured image ? Marcus Gründler When you are already using openCV you

I'm fairly new to OpenCV, and very excited to learn more. I've been toying with the idea of outlining edges, shapes. I've come across this code (running on an iOS device), which uses Canny. I'd like to be able to render this in color, and circle each shape. Can someone point me in the right direction? Thanks! IplImage *grayImage = cvCreateImage(cvGetSize(iplImage), IPL_DEPTH_8U, 1); cvCvtColor(iplImage, grayImage, CV_BGRA2GRAY); cvReleaseImage(&iplImage); IplImage* img_blur = cvCreateImage( cvGetSize( grayImage ), grayImage->depth, 1); cvSmooth(grayImage, img_blur, CV_BLUR, 3, 0, 0, 0);

What is the best way to detect the corners of an invoice/receipt/sheet-of-paper in a photo? This is to be used for subsequent perspective correction, before OCR. My current approach has been: RGB > Gray > Canny Edge Detection with thresholding > Dilate(1) > Remove small objects(6) > clear boarder objects > pick larges blog based on Convex Area. > [corner detection - Not implemented] I can't help but think there must be a more robust 'intelligent'/statistical approach to handle this type of segmentation. I don't have a lot of training examples, but I could probably get 100 images together.

I need to detect the Sun from the space sky. These are examples of the input images: I've got such results after Morphologic filtering ( open operation for twice ) Here's the algorithm code of this processing: // Color to Gray cvCvtColor(image, gray, CV_RGB2GRAY); // color threshold cvThreshold(gray,gray,150,255,CV_THRESH_BINARY); // Morphologic open for 2 times cvMorphologyEx( gray, dst, NULL, CV_SHAPE_RECT, CV_MOP_OPEN, 2); Isn't it too heavy processing for such a simple task? And how to find the center of the Sun? If I find white points, than I'll find white points of big Earth ( left top