shape detection
in [Matlab]
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From: VINEESH VS on 6 Oct 2009 07:07 hello sir, will you please tell me how can i compare two images and get the some result if two images are same and another output if not... the images i have are not exactly same, but looks almost similar (actually my problem is to detect a left arrow, but in the image to be processed has some other shapes along with the arrow... how can i detect the arrow among other shapes )
From: ImageAnalyst on 6 Oct 2009 07:26 On Oct 6, 7:07 am, "VINEESH VS" <robotj...(a)gmail.com> wrote: > hello sir, > will you please tell me how can i compare two images and get the some result if two images are same and another output if not... the images i have are not exactly same, but looks almost similar (actually my problem is to detect a left arrow, but in the image to be processed has some other shapes along with the arrow... how can i detect the arrow among other shapes ) ----------------------------------------------------------------------------------------- Look at this page to see how they used the Hausdorf distance to find the jet in the image. Could that be applied to your arrow finding problem? http://cgm.cs.mcgill.ca/~godfried/teaching/cg-projects/98/normand/main.html
From: VINEESH VS on 8 Oct 2009 03:09 sir very thank you.. please provide me more links or pdfs to study shape detection in matlab....
From: VINEESH VS on 8 Oct 2009 03:28 i read the link.. but it can identify only if the image is same but taken at different distances... but i have images which have the shape of a left arrow but whose shape can vary in the competition....
From: ImageAnalyst on 8 Oct 2009 06:14 On Oct 8, 3:28 am, "VINEESH VS" <robotj...(a)gmail.com> wrote: > i read the link.. but it can identify only if the image is same but taken at different distances... but i have images which have the shape of a left arrow but whose shape can vary in the competition.... ------------------------------------------------------------------------------- You're not even providing anyone with images to look at so at best all we can do is throw out wild guesses, like this one: how about using SIFT: http://en.wikipedia.org/wiki/Scale-invariant_feature_transform
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