Analysis of Skin Cancer Using Fuzzy and Wavelet Technique – Review & Proposed New Algorithm

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2013 by IJETT Journal
Volume-4 Issue-6                      
Year of Publication : 2013
Authors : Nilkamal S. Ramteke , Shweta V.Jain


Nilkamal S. Ramteke , Shweta V.Jain."Analysis of Skin Cancer Using Fuzzy and Wavelet Technique – Review & Proposed New Algorithm". International Journal of Engineering Trends and Technology (IJETT). V4(6):2555-2566 Jun 2013. ISSN:2231-5381. published by seventh sense research group.


This paper first reviews the past and present technologies for skin cancer detections along with their relevant tools. Then it goes on discussing briefly abou t features, advantages or drawbacks of each of them. Then we discuss the mathematics preliminary required to process the image of skin cancer lesion using our proposed scheme. This paper presents a new approach for Skin Cancer detection and analysis from g iven photograph of patient’s cancer affected area, which can be used to automate the diagnosis and theruptic treatment of skin cancer. The proposed scheme is using Wavelet Transformation for image improvement, denoising and Histogram Analysis whereas ABCD rule with good diagnostic accuracy worldwide is used in diagnostic system as a base and finally Fuzzy Inference System for Final decision of skin type based on the pixel color severity for final decision of Benign or Malignant Skin Cancer.


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Skin Cancer, Melanoma, Fuzzy Inference System, Wavelet, Segmentation .