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Proceedings Paper

Improved pulse-coupled neural network for target segmentation in infrared images
Author(s): Xiangwei Kong; Jing Huang; Hao Shi
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Paper Abstract

This paper presents a new image segmentation algorithm based on the pulse coupled neural network (PCNN) and histogram method for infrared images. The proposed algorithm abandons entirely the mechanism of the time exponential decaying function and uses the results of the gray-level histogram analysis as the interior thresholds of PCNN, meanwhile, it keeps the advantage of briding small spatial gaps and minor intensity variations. Experiment results demonstrate that the proposed algorithm can get more complete region and edge information in infrared images. It is also of much lower complexity and of high speed than the original one.

Paper Details

Date Published: 20 September 2001
PDF: 6 pages
Proc. SPIE 4555, Neural Network and Distributed Processing, (20 September 2001); doi: 10.1117/12.441693
Show Author Affiliations
Xiangwei Kong, Dalian Univ. of Technology (China)
Jing Huang, Dalian Univ. of Technology (China)
Hao Shi, Dalian Univ. of Technology (China)

Published in SPIE Proceedings Vol. 4555:
Neural Network and Distributed Processing
Xubang Shen; Jianguo Liu, Editor(s)

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