Detecting skin cancer at an early age is very crucial for differentiating malignant melanoma from benign one. We presented a novel approach for automatic detection of skin cancer based on modified extended LBP feature. Extended LBP is a generalized form of LBP and we have proposed some modification in its functioning in order to make it more robust. Gabor filter bank is used to segment the lesion area based on the frequency and orientation pattern of the lesion in input image. We have trained and tested our proposed methodology on Support Vector Machine. We have used our own self-created database which consists of 225 images captured from different internet resources. The proposed framework is able to achieve sensitivity, specificity and overall accuracy of about 92.72%, 94.5% and 93.6% respectively.

Extended Local Binary Pattern, Modified Extended LBP Gabor filter, Support Vector Machine, Image Segmentation

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