Skin Disease Detection using Artificial Neural Network
V.Jaychandra Reddy1, T.J.Nagalakshmi2
1V.Jaychandra Reddy, UG student, Department of ECE, Saveetha School of Engineering, SIMATS, Chennai, Tamil Nadu, India.
2Ms. T.J. Nagalakshmi, Assistant professor, Department of ECE, Saveetha School of Engineering, SIMATS, Chennai, Tamil Nadu, India.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 1450-1453 | Volume-8 Issue-12, October 2019. | Retrieval Number: L39481081219/2019©BEIESP | DOI: 10.35940/ijitee.L3948.1081219
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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: Most of the health issues on human body is notified through the skin. In this paper, we proposed a framework which identifies the skin infections by using Artificial Neural Network technique. This framework effectively recognizes different types of dermatological skin illnesses. It comprises of three stages. They are, picture fixing, articulating stage, locating the stage. Strategies like shifting, partition, highlight mining, picture prepreparing and edge identification are important. This paper introduces an overview of different skin sickness. A thorough report of various skin infections is studied.
Keywords: Pre-Processing, Edge Detection, Filtering, Image processing, Skin Diseases, ANN.
Scope of the Article: Healthcare Informatics