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Object Recognition by Permanence of Ratios Based Fusion and Gaussian Bayes Decision
Book chapter   Peer reviewed

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

Tuan D. Pham
Knowledge-Based and Intelligent Information and Engineering Systems, pp.155-160
Lecture Notes in Computer Science, Springer Berlin Heidelberg
2009
DOI: https://doi.org/10.1007/978-3-642-04595-0_19

Abstract

Data Fusion Information Fusion Multispectral Image Object Recognition Training Image
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.

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