--000e0cd2978abe04b80486ddb91c Content-Type: text/plain; charset=ISO-8859-1 :) I have checked out the links that given by u. They are informative, But i am interested to count it through image processing only. So i first tried the cross-correlation But it failed because it is not capable to detect scaled shapes, and it is a very time consuming process also. Then i used canny edge detector and tried, it also work well but for my application it failed because my background also consists of many high frequency. But sobel, prewitt and Laplacian are detecting the edges fair enough but i ddnt find any algorithm to count the detected bubbles. Then i used opencv hough circle transform to detect circles but this is nowhere for my application. i am attaching one image that i have. please have a look in to that. i know i dont have much knowledge in image processing, So please clear my doubts YOurs SaRIn.... On Tue, May 18, 2010 at 5:25 AM, Russell McMahon wrote: > > There was one message in the list that; we can use convolution to detect > > symmetric objects. > > but i tried cross-correlation(which is a kind of convolution) but it > fails > > to detect objects differ in size and different orientation. So i used > bare > > 2d convolution also but i didnt get any result. > > :( > > 1. You need to understand what a given technique is meant to do for > you and why it may work and how it does so. > ie a high level of understanding of *how* a tool is meant to do *what* > it is meant to do is highly desirable, at least. > > You may have this level of understanding for the methods that you have > used BUT this is not evident from what you have written, and there is > an impression given that you MAY be applying methods without a > particularly good idea of why they might work or why they didn't. > (That's NOT meant to be rude - just an indication of how things appear > 'from a distance'). > > It would quite possibly be useful if you took the method that you have > tried which you most expected to work, explain how you thought it > should work, what actually happened, and why you think it worked > differently than expected. It is my experience that explaining > something in depth to an audience which should be able to understand > the explanation often allows me to see things which I had missed or to > understand things better. ie as I explain to others I explain to > myself and manage to analyse the explanation and discover its > shortcomings. As a bonus here - others will also actively comment on > your explanation :-). > > 2. Were any of the methods in the links that I provided of any value? > > > Russell > -- > http://www.piclist.com PIC/SX FAQ & list archive > View/change your membership options at > http://mailman.mit.edu/mailman/listinfo/piclist > --000e0cd2978abe04b80486ddb91c Content-Type: image/jpeg; name="org.jpg_LumAvg1.jpg" Content-Disposition: attachment; filename="org.jpg_LumAvg1.jpg" Content-Transfer-Encoding: base64 X-Attachment-Id: f_g9cpwac90 /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACoAgMDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA 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