Classification and Evaluation of Tomato Images Using Several Classifier

Abstract

The goal of this paper is tomato classification by images processing. Data was used in this paper in related to 90 images of tomato. We extract 10 features from 90 images by machine vision technique. We evaluate results that accepted in considered images. Also we have classified these data using different classification methods and then compare them.