Various image enhancement techniques for skin cancer detection using mobile app

This paper aims to identify efficient image enhancement techniques in order to detect the preliminary effect of skin cancer. The protruding regions present on images of the skin need to be identified for further diagnosis by oncologists. We consider well established image enhancement techniques to increase or decrease image brightness and contrast levels. Specifically, we consider adaptive unsharp masking, adaptive histogram equalization, adaptive neighborhood contrast enhancement and local and global contrast stretching. We present results using these techniques on color and grey scale images in order to develop mobile application which patients can use to send such images to a medical practitioner. The application is linked to an electronic Health Information System, whose functionality is augmented by the use of this simple and efficient mobile image enhancement application. Here, the results that showed up have been discussed below.