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Image Target Recognition Using Pulse Coupled Neural Networks Time Matrix

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4 Author(s)
Liu Qing ; School of Mathematics-physics & Information Science, Tianshui Normal University, Tianshui 741001, P. R. China. E-mail: lqlzu@126.com ; Ma Yide ; Zhang Shaogang ; He Wansheng

A novel method for image target recognition based on the Pulse Coupled Neural Networks (PCNN) time matrix is presented in this paper. We describe the PCNN and put forward the concept of PCNN time matrix. The time matrix contains useful information related to spatial information of the image that is under processing. According to some physical concepts, a kind of new invariable feature of image histogram vector, histogram vector center, is defined, which is used in image target recognition. The results of computer simulations are that histogram vector center of PCNN time matrix has the ability of anti-geometric distortions (translation, rotation and scaling, TRS), and its extraction method is simple. Moreover, little parameters are extracted, and the presented target recognition approach is more efficient which compared with the traditional method.

Published in:

2007 Chinese Control Conference

Date of Conference:

July 26 2007-June 31 2007