Re: Google Summer of Code 2013
@stefan Hi, Thanks for reply . I have read the modules of scikit-image and understand the modules . First i was thinking of implementing otsu's thersholding algorithm .But it is already implemented . So now I am thinking of implementing multi-level thresholding or graph cut segmentation , I have read the graph based image segmentation paper . and also started implementing it on graph (currently ) , I have installation problems (with latest source code) due to some dependencies of scipy on BLAS and LAPACK ,that i will resolve after my end semester exam(after 19th april) . and i also there is only canny edge detection algorithm for edge detection . although it is better the many other edge detection algorithm . So is it useful if there exist some more edge detection techniques ? and out of these above three which is more important to implement ( according to me since segmentation is more difficult problem so segmentation should be important ). Thank you Umesh Kumar Sharma 4th year UG student IIT Kharagpur
Hi Umesh On Mon, Apr 15, 2013 at 11:44 PM, Umesh Sharma <usharma01@gmail.com> wrote:
and i also there is only canny edge detection algorithm for edge detection . although it is better the many other edge detection algorithm . So is it useful if there exist some more edge detection techniques ?
Currently we have sobel and canny and some other filter-based one. Which others did you have in mind?
and out of these above three which is more important to implement ( according to me since segmentation is more difficult problem so segmentation should be important ).
Segmentation is a significantly harder problem, so perhaps not the easiest one to tackle as a first PR. Regards Stéfan
participants (2)
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Stéfan van der Walt
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Umesh Sharma