Abstract
Diagnosis of skin cancer is based on clinical examination and biopsy. The objective of this study is to propose a simple and quick non-invasive image processing-based diagnostic method which identifies non-malignant skin lesions in order to minimize biopsy to the maximum possible extent. This novel study proposes selection of a master template (MT) of a pre-diagnosed malignant dermatoscopic image with histopathology report from ISIC archive. Identification of non-malignant image is implemented using scatter plots of chromatic parameter Saturation (S) in HSV space on the subtracted image from the MT. Two thresholds of S, 0.45 for non-malignant, and 0.35 for malignant lesions, in the scatter plots are the identifiers. The hypothesis of the proposed method is that the color and intensity hold the key for identification of non-malignant lesions. Experiments on hundred images from ISIC archive achieved an accuracy of 80%, while the specificity of 85% and sensitivity of 71% were obtained.
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