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Proceedings Paper

Histogram-based image classification using fuzzy ARTMAP neural network
Author(s): Chunhong Jiang; Zhe Chen
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Paper Abstract

This paper presents a novel fast images classification method which based on image histogram features and using fuzzy ARTMAP neural network. Compared with the previous method, the edge, brightness, contrast and SNR feature of images are taken into account in this method, and it has so many advantages such as self-adaptive clustering, fast convergence, good real-time ability, high classification accuracy and high universality etc. It can be adopted in SMGS (scene matching guidance system) to auto-select real- time images and so as to improve the level of intelligence, reliability and real time ability of SMGS.

Paper Details

Date Published: 20 September 2001
PDF: 6 pages
Proc. SPIE 4555, Neural Network and Distributed Processing, (20 September 2001); doi: 10.1117/12.441672
Show Author Affiliations
Chunhong Jiang, Beijing Univ. of Aeronautics and Astronautics (China)
Zhe Chen, Beijing Univ. of Aeronautics and Astronautics (China)

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

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