Title: Recognition and classification of images of fruits' juices based on 3-Sigma approach

Authors: Basavaraj S. Anami, Vishwanath C. Burkpalli

Addresses: K.L.E. Institute of Technology, Opposite Airport, Gokul Road, Hubli-580030, India. ' P.D.A. College of Engineering, Eiwan-E-Shahi Road, Gulbarga-585102, India

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.

Keywords: colour features; knowledge-based classifiers; fruit juices; image recognition; image classification; service robots.

DOI: 10.1504/IJCVR.2010.036082

International Journal of Computational Vision and Robotics, 2010 Vol.1 No.2, pp.206 - 217

Published online: 17 Oct 2010 *

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