Paper Title :Automatic Segmentation Of Scaling In 2-D Psoriasis Skin Images Using SVM And MRF

Author :Kodeeswari.C, Sunitha.S, Pavithra.M, Santhia. K.R

Article Citation :Kodeeswari.C ,Sunitha.S ,Pavithra.M ,Santhia. K.R , (2014 ) " Automatic Segmentation Of Scaling In 2-D Psoriasis Skin Images Using SVM And MRF " , International Journal of Advances in Science, Engineering and Technology(IJASEAT) , pp. 31-35, Volume-2,Issue-2

Abstract : Abstract:Psoriasis is a skin disease that causes the skin cells , forming itchy red patches. Now a days 40% of people are affected by psoriasis. It is one of the type of comorbidity disease. Psoriasis Area and Severity Index is used for the measurement of severity of psoriasis. But it need the quality(accurate) image, So we used the Seeded Region Growth(SRG) algorithm. In the PASI the range o indicates no disease and range 1 indicates maximal disease. SRG technique is applied only inside of the pixel, it robust and also perform the segmentation directly. Then ASRG(Automatic Seeded Region Growth) algorithm is also used to solve the problem of pixel sorting order it automatically process the seed selection. Finally these algorithm gives the accurate image for the treatment of psoriasis. Reliable tests are important to dermatologists for assessing treatements and to companies who want to improve their treatements.

Type : Research paper

Published : Volume-2,Issue-2

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