This study primarily focuses on skin cancer image segmentation based on symmetrical threshold contour algorithm Image segmentation is classification or identification of small patterns in the given images. Image segmentation is a fundamental step in image processing. Image segmentation is the classification of an image into various groups. Research has been done in image segmentation using image clustering methods like k-means clustering algorithm. The 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 is based on symmetrical thresholding algorithm using MATLAB soft ware. Results of the proposed method are compared with dilation of image morphological algorithm and its contour. By observing the dilated image and its contour, the proposed method gives continuous and accurate contour.
Author(s) Details:
B. Vasantha Lakshmi,
Department of EECE, ECE Pragati Engineering College, Gitam University, Visakhapatnam, Andhra Pradesh, India.
K. Sridevi,
EECE Department, Gitam University, Visakhapatnam, Andhra Pradesh, India.
V. Sailaja,
ECE Pragati Engineering College, Surampalem, India.
P. Sunitha,
ECE Aditya Engineering College, India.
G. S. Siva Kumar,
ECE Pragati Engineering College, Surampalem, India.
G. Viranya,
ECE Pragati Engineering College, Surampalem, India.
Please see the link here: https://stm.bookpi.org/RUMCS-V2/article/view/13959
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