Machine Vision Based Vegetable Recognition

Abstract

In this project, a new vision system to characterize the recognition of vegetables in images has been developed. It is always related to image processing, which can control the classification, qualification and segmentation of images. It is a recognition system for super market and grocery stores. From the captured images multiple recognition clues such as colour, shape, size, texture and weight are extracted and analysed to classify and recognize the vegetables. The results show that it has good robustness and a very high success. An important characteristic of the proposed algorithm is that it is able to work with several elements inside the camera field of view. This adds flexibility to the application in order to work in the country or in a greenhouse, where the elements are very close to each other and the location of all them must be obtained in real time. This approach is less complex and relatively very faster than other approach. If the system can identify uniquely, the checkout process at superstores will be fast and efficient.