Skin Lesion Detection Based on Fuzzy Logic
L. Megalan Leo1, V. Yokesh2, K.V. Karthikeyan3, G. Ramkumar4, S. Agnes Shifani5

1L. Megalan Leo, Department of ECE, Sathyabama Institute of Sciecne and Technology, Chennai, India.
2V. Yokesh, Department of ECE, Jeppiaar Institute of Technology, Chennai, India.
3K.V. Karthikeyan, Department of ECE, Jeppiaar Maamallan Engineering College, Chennai, India..
4G. Ramkumar, Department of ECE, Jeppiaar Maamallan Engineering College, Chennai, India.
5S. Agnes Shifani, Department of ECE, Jeppiaar Maamallan Engineering College, Chennai, India.

Manuscript received on 02 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 August 2019 | PP: 516-520 | Volume-8 Issue-10, August 2019 | Retrieval Number: J88260881019/2019©BEIESP | DOI: 10.35940/ijitee.J8826.0881019
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Abstract: Melanoma is the maximal destructive type of skin disease. Occurrence ratios of melanoma seemed expanding, particularly with non-Hispanic white guys and females, however durability values are more whenever identified early. Requirement of cost as well as time for the imates to go for dermatologist for melanoma are restrictively exorbitant. Test in actualizing such a framework is finding the derma sore in the computerized picture. An arrangement of agent surface appropriations are found out from an enlightenment remedied photo and surface peculiarity metric is ascertained for every circulation. Melanoma represents around 75% of passings related with skin tumor. The fundamental objective of our work is to build up a structure that naturally right and section the skin injury from an information photo. This philosophy utilizes surface peculiarity injury division fluffy calculation to distinguish the injuries in the skin. The upside of this undertaking is early recognition of the sore to dodge skin tumor at later stages.
Keywords: Skin lesion, melanoma, segmentation, classification.
Scope of the Article: Fuzzy Logics