• SUNIT

Skin lesion is the piece of the skin having strange development. The piece of skin seeming diverse then b different parts of the skin is by and large falls into the class of skin lesion. The proposed work research the use of two calculations to shape half and half approach, Support vector machine (SVM) and Fuzzy Filtering instrument to distinguish skin lesion from the pictures exhibited. The writing utilizes shaded picture set gotten from the web. The proposed work starts by pre handling of picture i.e. evacuating superfluous ancient rarities, for example, hair, shading influences and so on. Limit of picture is recognized through the following stage known as division. In the following stage fluffy separating is utilized to recognize the elements and arrangement is performed. The re-enactment is led in MAT LAB utilizing the utilization of picture preparing tool kit. The outcomes got are contrasted with existing division approaches with distinguish exactness of result as far as skin lesion discovery.

Skin Lesion, Pre-Processing, Segmentation, SVM, Fuzzy Filtering

"FUZZY SVM BASED SKIN LESION DETECTION WITH ENHANCED CLASSIFICATION ACCURACY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.594-602, June 2019, Available :http://www.jetir.org/papers/JETIR1907V91.pdf

"FUZZY SVM BASED SKIN LESION DETECTION WITH ENHANCED CLASSIFICATION ACCURACY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp594-602, June 2019, Available at : http://www.jetir.org/papers/JETIR1907V91.pdf