A Survey on Image Processing Techniques to Detect Melanoma
Neha Katariya · International Journal for Research in Applied Science and Engineering Technology · 2018
Cancer a word itself is very impactful to scare a patient.So, it is very important for the physicians to detect cancer in its early stage and try to prevent it before it become reason of life loss.From last some years a melanocytic cancer become a most death causing cancer in the human kind.Dermatologist are expecting a computer aided system that can detect it in early stage. In this paper we present a survey on available image processing techniques to detect melanoma. Image pre-processing techniques like thin artifacts removal methods and wiener filter. Image segmentation methods like automatic border detection, Otsu's thresholding followed by binary tracing and adaptive thresholding; some feature extraction techniques like geometrybased method, feature extraction using Gray Level Co-Occurrence Matrix (GLCM) and color correlogram & texture analysis; and some classification techniques like support vector machine, Bayesian classifier and extreme learning machine are presented.