Skin Disease Detection and Classification using Image Processing Algorithm
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Abstract
There are many diseases but the most common disease is kin disease. This disease commonly occurs in people of every age. Since dermatologists are expensive, there is a need of computerized system that uses the image of the patients skin lesions and evaluate the patients based on it. In this paper, we are developing a skin disease detecting of image processing techniques/methods and Neural Network. The proposed system will capture image through a camera and upload it on the computer application. Each image is going through the Pre-processing as well as segmentation. After that Feature extraction is performed. In the predictive modelling application, feature extraction is very essential. Primitive picture features can be shape, colour, structure etc. Finally, feature classification can be done.
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How to Cite
1.
Lamge R, Karmaran V, Hakke G, Pansambal S. Skin Disease Detection and Classification using Image Processing Algorithm. sms [Internet]. 30Jun.2020 [cited 27Dec.2024];12(SUP 1):169-71. Available from: https://smsjournals.com/index.php/SAMRIDDHI/article/view/1928
Section
Research Article
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