Volume 20 No 12 (2022)
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Skin Lesions Segmentation by Intelligent Water Drop Algorithm
Chetna Devkar, Dr. Shailja Sharma
Technology help human being at different activity of life directly or indirectly. Our of various area of technology health support plays an vital role to medical professional for diagnosis of diseases. This paper has proposed a model that segment skin lesions from the image. In order to do lesion segmentation proposed Skin Disease Diagnosis by Genetic and Water Drop SDDGWD model extract color feature from the image. SDDGWD use intelligent water drop genetic algorithm to get pixel set as a cluster center for lesion segmentation. Experiment of proposed model SDDGWD was done on skin lesion real dataset images. Evaluation of model was done on various comparing parameters and result shows that SDDGWD improve performance of segmentation with correct class prediction.
Image Processing, Medical Image Diagnosis, Feature Extraction, Segmentation
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