Author： Zhang YuDong Wu LeNan
Publisher： MDPI
E-ISSN： 1424-8220|8|11|7518-7529
ISSN： 1424-8220
Source： Sensors, Vol.8, Iss.11, 2008-11, pp. : 7518-7529
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
In this paper a novel feature extraction method for image processing via PCNN and Tsallis entropy is presented. We describe the mathematical model of the PCNN and the basic concept of Tsallis entropy in order to find a recognition method for isolated objects. Experiments show that the novel feature is translation and scale independent, while rotation independence is a bit weak at diagonal angles of 45° and 135°. Parameters of the application on face recognition are acquired by bacterial chemotaxis optimization (BCO), and the highest classification rate is 72.5%, which demonstrates its acceptable performance and potential value.
Related content
Special Issue: Tsallis Entropy
Entropy, Vol. 14, Iss. 2, 2012-02 ,pp. :
Access to resources
Recommend
Entropy, Vol. 13, Iss. 4, 2011-04 ,pp. :
Tsallis Relative Entropy and Anomalous Diffusion
By Prehl Janett Essex Christopher Hoffmann Karl Heinz
Entropy, Vol. 14, Iss. 4, 2012-04 ,pp. :
Projective Power Entropy and Maximum Tsallis Entropy Distributions
By Eguchi Shinto Komori Osamu Kato Shogo
Entropy, Vol. 13, Iss. 10, 2011-09 ,pp. :
Tsallis Entropy, Escort Probability and the Incomplete Information Theory
By Darooneh Amir Hossein Naeimi Ghassem Mehri Ali Sadeghi Parvin
Entropy, Vol. 12, Iss. 12, 2010-12 ,pp. :