Border Detection and Cancer Propagation on Spectral Bands of Malignant Melanoma Using Six Sigma Threshold

This paper presents a method for detecting the border and identifying the incidence and propagation of cancer by analyzing the variations of the RGB spectrum of lesion skin images using novel six sigma threshold and region connectivity concepts. Identification of micro level color variations further contemplates on the cancer growth based on the underlying principles of Shewhartpsilas control charts, which focus on the fact that the variability does exist in all repetitive processes. The heterogeneous color variation within the skin is considered as an assignable cause and is due to the secretion of excess melanin. These variations possess greater magnitude as compared to the chance causes due to the color variations found in normal skins. The power of control chart that lies in its ability to separate out this assignable cause, which is one of inherent mnemonics of Malignant Melanoma, is exhibited. The proposed technique identifies the normal skin region from the regions of lesions, the incidence and propagation of cancer; besides detecting its fuzzy border. Results show that the method produces robust border detection and the micro level cancer propagation found in the affected region.