SKIN CANCER DETECTION ALGORITHM, A NOVEL FRACTAL BASED APPROACH

Today’s the skin cancer and related cancer was interested among the researcher. Fractal and multi fractal method are widely-used for the analysis of textures, or any images with self-similar content. All traditional works have a big issue that called complexity time. We proposed a novel approach, in combination to the probabilistic algorithm for the computation of the fractal dimension and lacunarity. Our method was used the boundary irregularity, which can be quantified using fractal dimension. In this research, the dimension of mole and normal melanoma skin was calculated with the proposed method. We used this approach for the evaluation of the skin lesions, in case of psoriasis. The efficacy of these new descriptors was tested on a data set of 800 skin lesions, composed by 85 melanomas and nevi. The result showed the high accuracy of the developed GUI for melanoma detection