Comparative Study of Mango Classification Methods based on Image Data

Abstract

The grade of a mango is determined by its color. Traditionally, the classification of mangoes is manually performed by humans. Such classification is subjective and then the quality of mango's is not uniform. In order to overcome the problem, automatic classification method to classify mango based on RGB histogram of their images and certain threshold. However, this process might be influenced by variations in the luminance. In this study, we implemented alternatives of the traditional method and compared them with sampled images.