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Volume 3 Issue 3
 
Volume & Issue: Volume 3 Issue 3

Automatic Segmentation Of Skin Lesion Using Markov Random Field
  Volume 3,Issue 3
 

Author :

Fatemeh Torkashvand, Mehdi Fartash

 

Abstract :

The image segmentation is one of the most important topics in the image processing that plays a key role in the image analysis. This study presents a new method to segregate the skin lesions through level set concept with regard to the level of homogeneity and Markov random field. A cluster property with local intensities was extracted from the image during the smoothing and level set phases based on the intensity of heterogeneity and a local clustering function was defined for the intensities of each pixel adjacent to each point. Then, an image is segmented by Markov random field and allocation of each pixel of the image to existing classes that would finally lead to the lesion segregation from the healthy skin. Our method was tested on 200 dermoscopic images taken from the PH2 database in various color spaces. According to the results and comparison with the results of clinical diagnosis by dermatologists, the proposed method had 94% accuracy in green channel, which indicates a better performance than other color spaces.

 

Keywords :

Inhomogeneities Intensity, Markov Random Field, Image segmentation, Melanoma, Dermoscopy images

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