Input Plane Preprocessing of Joint Transform Correlator Based on Swarm Intelligence

被引：0

作者：

Wang, Yong ^{[1
]}

Zhu, Ming ^{[1
]}

机构：

[1] Chinese Acad Sci, Changchun Inst Opt Fine Mech & Phys, Changchun, Peoples R China

来源：

PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9 | 2009年

关键词：

Joint Transform Correlator; Swarm Intelligence; agent; Fourier transform;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Input plane image preprocessing can improve the performance of Joint Transform Correlator(JTC). Swarm Intelligence based image processing method is consistent with the parallel characteristic of optical signal processing method. In this paper,A Swarm Intelligence based input plane preprocessing method is proposed. Some other methods are also used to perform the task, such as grayscale transform, Sobel operator and mathematical morphology. The experimental results show that the performance of the proposed Swarm Intelligence preprocessing based JTC is better than that of the JTC based on other preprocessing methods.

引用

页码：2619 / 2624

页数：6

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