Segmentation of affected skin lesion with blind deconvolution and L∗a∗b colour space

Skin diseases have been increased in the recent decades and if detected earlier, can be treated effectively. Segmentation of affected skin lesion using dermoscopy or dermatoscopic images for cancer diagnosis has received attention from the community of image processing. This research work proposed a simple yet effective method in Dermoscopy image segmentation for the affected skin lesion. In order to remove undesirable pixels for better segmentation of images, blind deconvolution (BD) is used. After applying BD, the resultant RGB image is transformed into L∗a∗b colour channel. The 'a' channel from L∗a∗b is extracted as a feature value for the segmentation of the affected region. In order to yield better segmented skin lesion from the 'a' channel image, Otsu's thresholding with Morphology is used as a post-processing technique. A series of experimental results achieved an accuracy of 95% using 150 dermoscopy images.