Skin-Cancer Region of Interest Detection using Jensen-Shannon Divergence
نویسنده
چکیده
.Frequent screening of suspicious skin pigmentations is of paramount importance since, at an early stage; skin cancer has a high cure rate and, in most cases, requires a simple treatment. In this paper, we present a newly methodology for early detection of skin cancer based on the used of image segmentation. This method is based on the use of the JensenShannon divergence of the histograms taken from two sub-window in a sliding window over the image. The advantages of using this entropic edge-detection method are shown; it is especially suitable when the source image is affected by any kind of noise, blur or low contrast effect. Results reveal a better performance than other methods used in this fields.
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