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dull razor hair removal code in matlab
Recently, there has been an increase in the number of studies using image processing techniques to analyze melanocytic lesions for atypia and possible malignancy, and for total-body mole mapping. Such lesions, however, can be partially obscured by body hair; and, to date, no study has fully addressed the problem of human hair occluding imaged lesions. In a previous study we designed an automatic segmentation program to differentiate skin lesions from normal healthy skin. Our program performed well with most images the exception being images where dark thick hair covers part of the lesions. Dark hair confused the program which resulted in unsatisfactory segmentation results.
Presented here is a method to remove hair from images using a pre-processing program called DullRazor [1]. DullRazor performs the following steps:
It identifies the dark hair locations by a generalized grayscale morphological closing operation,
It verifies the shape of the hair pixels as thin and long structure, and replace the verified pixels by a bilinear interpolation, and
It smooths the replaced hair pixels with an adaptive median filter.
The algorithm has been implemented in C on a SunOS 4.x workstation. (The program can be run on Sun Solaris workstations as well.) It has been tested on real nevi images with satisfactory results. Figure 1. shows a lesion covered by thick hair and Figure 2. shows the result with hair removed. The man.txt file provides more details.
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dull razor hair removal code in matlab
Recently, there has been an increase in the number of studies using image processing techniques to analyse melanocytic lesions for atypia and possible malignancy, and for total-body mole mapping. Such lesions, however, can be partially obscured by body hair; and, to date, no study has fully addressed the problem of human hair occluding imaged lesions. In a previous study we designed an automatic segmentation program to differentiate skin lesions from normal healthy skin. Our program performed well with most images the exception being images where dark thick hair covers part of the lesions. Dark hair confused the program which resulted in unsatisfactory segmentation results.
Presented here is a method to remove hair from images using a pre-processing program called DullRazor. DullRazor performs the following steps:
It identifies the dark hair locations by a generalized grayscale morphological closing operation,
It verifies the shape of the hair pixels as thin and long structure, and replace the verified pixels by a bilinear interpolation, and
It smooths the replaced hair pixels with an adaptive median filter.
The algorithm has been implemented in C on a SunOS 4.x workstation. (The program can be run on Sun Solaris workstations as well.) It has been tested on real nevi images with satisfactory results.
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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.
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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
which algorithm gives best segmentation results
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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.
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I need dull razor hair removal code for my thesis purpose. I will be very happy if you provide me this code.
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I need the dull razor code for my thesis project of skin disease detection by image processing.
