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Alienation of Melanocytes in Cancer Pretentious Cells using Level Set Segmentation Algorithm

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 4)

Publication Date:

Authors : ; ;

Page : 239-249

Keywords : Histopathological images analysis; image segmentation; Support vector Machine; object reorganization;

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Melanoma is the dangerous form of Skin Cancer that reduces the life period of many blessed sole and cause increased death rates every second. Hence this should be detected in early stage. It is achieved only by the expert dermatologist after painful & time consuming biopsy. The proposed Computer aided system use different technique to reduce the pain and time of cancer affected patient. Thus it separates the affected Melanocyte in the epidermis area. The cancer image is given as input to the system. As the image contains dust (noise & hair) it should be removed first. It is obtained by means of bilateral method in image processing. The local intensity of the image is reduced using Level Set Segmentation Algorithm. LRRS is used to fix the candidate nuclei region generated by level set segmented image. SVM (Support Vector Machine) is proposed to recognize the object i.e., Melanocyte and Keratinocyte in epidermis area. Thus the proposed system produces accurate result over different histopathological image.

Last modified: 2014-04-10 16:16:38