Skin Cancer Image Segmentation Based on Symmetrical Threshold Contour Algorithm

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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.

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Lakshmi, B. V., Sridevi, Dr. K., & Rani, Dr. D. E. (2020). Skin Cancer Image Segmentation Based on Symmetrical Threshold Contour Algorithm. International Journal of Recent Technology and Engineering (IJRTE), 9(1), 2390–2398. https://doi.org/10.35940/ijrte.a2569.059120

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