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Proceedings Paper

Color map segmentation algorithm based on neural network and heuristic learning
Author(s): Ling Ni; Jianqing Zhang; Jun Li; Jinbiao Liu
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Paper Abstract

The main characters of color topographic map are analyzed in this paper. A feedforward neural network is constructed and a heuristic learning algorithm is proposed to provide significant speedup and extraction of color from color topographic map. A new method of combining neural network with statistic techniques is given to make the algorithm of color map segmentation more effective and practical.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539034
Show Author Affiliations
Ling Ni, Wuhan Univ. (China)
Jianqing Zhang, Wuhan Univ. (China)
Jun Li, Wuhan Univ. (China)
Jinbiao Liu, Wuhan Institute of Surveying and Designing (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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