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Android-based Application Utilizing Image Processing with Artificial Neural Network for Detecting Ringworm and Yeast Infections for Dogs Using Neuroph Framework

This study offers dog owners a system deeloped using Android that can determine a dog’s skin infections such as yeast and ringworm with the use of an image processing algorithm. The system can run on Android devices with a minimum camera resolution of five megapixels to clearly capture the dog’s skin and make a precise prediction. In this study, the Open Source Computer Vision (OpenCV) was used to detect and analyze captured image as a localized skin lesion, in which it has the ability to stitch the image together in order to produce a high-resolution image of the entire scene and to clearly find a similar data image from the images in the database. The artificial Neural Network (ANN) model was also utilized in the application for the training and testing of the dog skin disease dataset where the captured images can be detected and analyzed by using OpenCV. Captured images are compared to the sample images in the database and is used for image classification. Further, the application has the ability to analyze the captured image and provide the details when determined.