Object Recognition by Permanence of Ratios Based Fusion and Gaussian Bayes Decision

Authors:
Tuan D. Pham
Affiliations:
ADFA School of Information Technology and Electrical Engineering, The University of New South Wales, Canberra, Australia ACT 2600
Venue:
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part I
Year:
2009

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Abstract

Object recognition in digital image processing is the task of finding a particular object in an image. Although there are many pattern recognition methods developed for handling the problem of object recognition, it is still a challenging task in computer vision systems and image understanding. This paper presents a new model for object recognition using the concepts of Bayes classifier, fusion of probability measures, and the permanence of ratios.