Scabies Classification in Animal Using Uniform Local Binary Patterns

Abstract

Scabies is a disease caused by the Sarcoptes Scabiei mite and can affect humans and animals. In animals, this disease is recognized by crusted skin on the ears, nose, and feet, but if the disease is not treated immediately, the mites will spread throughout the animal's body and can even cause death.Image processing has been done a lot to classify diseases in humans and plants, but there are still a few that involve scabies in animals, so in this research the authors build a system that can classify animal skin images into two classes, namely animals with scabies disease, and animals with other skin diseases.The Uniform Local Binary Pattern feature extraction method has been proven to optimize the feature extraction results and minimize the processing time for the feature extraction process, so the system is built by processing the dataset using the Uniform Local Binary Pattern method and the Random Forest classification method so that the system performance reaches 52%