Color map segmentation algorithm based on neural network and heuristic learning

Ling Ni; Jianqing Zhang; Jun Li; Jinbiao Liu

doi:10.1117/12.539034

25 September 2003 Color map segmentation algorithm based on neural network and heuristic learning

Ling Ni, Jianqing Zhang, Jun Li, Jinbiao Liu

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539034
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

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.

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Ling Ni, Jianqing Zhang, Jun Li, and Jinbiao Liu "Color map segmentation algorithm based on neural network and heuristic learning", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.539034

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KEYWORDS

Neural networks

Evolutionary algorithms

Detection and tracking algorithms

Binary data

Image processing algorithms and systems

Image segmentation

Neurons

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