Recognition and classification of images of fruits' juices based on 3-Sigma approach
by Basavaraj S. Anami, Vishwanath C. Burkpalli
International Journal of Computational Vision and Robotics (IJCVR), Vol. 1, No. 2, 2010

Abstract: In this paper, we propose a methodology for recognition and classification of fruit juice image samples. The juice samples of different fruits like apple, chikku, lemon, mango, orange and pineapple are considered. Each juice is diluted with different percentages of water content. The RGB colour features extracted from the images form the knowledge base. A 3-Sigma-based classifier is proposed and has the classification efficiency of around 98%. The work finds application in restaurants, malls, motels and the like where the service robots automatically serve the food.

Online publication date: Sun, 17-Oct-2010

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Vision and Robotics (IJCVR):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com