Skin Cancer Image Segmentation Based on Symmetrical Threshold Contour Algorithm
B. Vasantha Lakshmi1, K.Sridevi2, D.Elizabath Rani3
1B.VasanthaLakshmi Department of Electrical, Electronics and Communication Engineering, Gitam University, Visakhapatnam, AndhraPradesh, India.
2Dr.K.Sridevi, Professor EECE Department, Gitam University, Visakhapatnam.Gitam University, Visakhapatnam, Andhra Pradesh, India.
3Dr.D.Elizabath Rani, Department of EECE, Gitam University, Visakhapatnam, Andhra Pradesh, India.
Manuscript received on April 30, 2020. | Revised Manuscript received on May 06, 2020. | Manuscript published on May 30, 2020. | PP: 2390-2398 | Volume-9 Issue-1, May 2020. | Retrieval Number: A2569059120/2020©BEIESP | DOI: 10.35940/ijrte.A2569.059120
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image segmentation is a process of identifying sub patterns in a given image. The purpose of skin cancer image segmentation is to represent it ina meaningful way for effectiveanalysis. Segmentation of skin cancer image is mostly used to detect the boundaries and objects present in a skin lesion. This approach describes the skin cancer image segmentation based on symmetrical threshold contour algorithm with similar thresholding values for segmentation of the accurate cancerous lesion. Skin cancer lesion shape and structure is the most important parameter in this method. In this paper, skin cancer image contour detection isbased on symmetrical thresholding algorithm using MATLAB soft ware.
Keywords: Cancerous Skin Lesion, Contour, Image segmentation, symmetrical thresholding.
Scope of the Article: Parallel and Distributed Algorithms