Android Application: Skin Abnormality Analysis based on Edge Detection Technique

The increasing of mobile applications makes it easier for humans to get up to date information. Users are accustomed to searching for an answer from the virtual world, including health problems. This paper discusses the mobile application of skin disease analysis based on the image. The system requires two images, unhealthy and healthy skin images. The system designed to analyze the unhealthy image and use the second one as a reference. Edge detection of the two images will be compared by finding the difference in Mean value. The difference in mean value will be put forward in the decision-making against suspected unhealthy skin that being analyzed. The app was built with Android Studio with an OpenCV library for implementing the Canny edge detection. Android-based mobile applications have been successfully created, and it is able to analyze the skin image. However, base on analysis, it is required further testing to find the appropriate parameters.