Unhealthy skin analyzer for mobile platform using Canny Edge Detection and Similarity Score

Abstract

The increasing use of mobile platforms for detecting a disease challenge the researcher for designing a more efficient application than previously. Skin diseases can be recognized visually by an expert. However, the diseases are often ignored, especially by they who live in the remote area. For this reason, it requires a system worked solely independent of medic expert through a simple device like a smartphone. The study designs a system for detecting the healthiness of skin through its image. The proposed design is the improved model of the previously published work. The system requires suspected unhealthy and reference images. Both images will be compared after passing the edge process. The result is displayed on the platform containing a suggestion for the user to have medical treatment. For detecting the skin diseases accurately, an adjustment in the edge process and comparing process (similarity check) is required. Based on the experiment, a suitable threshold for edge detection are 0 for low and 50 for high. Regarding the edge process, a suitable similarity threshold will be estimated. The similarity threshold that suits to the designed application is 6. Lastly, the decision making to determine the healthiness of an image is 45.35%.