Histogram-based image classification using fuzzy ARTMAP neural network

Chunhong Jiang; Zhe Chen

doi:10.1117/12.441672

20 September 2001 Histogram-based image classification using fuzzy ARTMAP neural network

Chunhong Jiang, Zhe Chen

Proceedings Volume 4555, Neural Network and Distributed Processing; (2001) https://doi.org/10.1117/12.441672
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

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.

Citation Download Citation

Chunhong Jiang and Zhe Chen "Histogram-based image classification using fuzzy ARTMAP neural network", Proc. SPIE 4555, Neural Network and Distributed Processing, (20 September 2001); https://doi.org/10.1117/12.441672

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