hello,
I and our team members doing project on skin cancer detection using image processing and to remove the hair in the skin lesion image, we want to apply dull razor software but we are not getting results correctly
WILL YOU PLEASE HELP US
thank you.

To get full information or details of dull razor hair removal code in matlab please have a look on the pages

http://mathworksmatlabcentral/answers/29934-hair-removal-algorithm-method-clarification-new-to-matlab

if you again feel trouble on dull razor hair removal code in matlab please reply in that page and ask specific fields in dull razor hair removal code in matlab

we have searched so many segmentation algorithms, finally we decided optimized k-means algorithm is the suitable one
to segment skin lesion image

is it efficient algorithm to segment skin lesion image, on which values of ABCD results are depended for skin cancer detection
we require matlab code for that segmentation algorithm

THANK YOU

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which algorithm gives best segmentation results

Recently, there have been a growing number of studies applying imaging techniques to analyse melanocytic lesions for atypia and possible malignancy and for total body mapping. However, such lesions may be partially obscured by body hairs. None of these studies have fully addressed the problem of human hairs occluding imaging lesions. In our previous study we designed an automatic segmentation program to differentiate cutaneous lesions from normal healthy skin and learned that the program worked well with most images, with the exception of those with hairs, especially dark hairs, that cover Part of the injuries. These thick dark hairs confused the program, resulting in unsatisfactory segmentation results. In this article, we present a method to remove hairs from an image using a preprocessing program that we have called Dull Razor. This preprocessing step allows the segmentation program to achieve satisfactory results.