Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007) Segmentation of Color Images Using Multi-FART Network Haier International Training Center, Qingdao, China July 30-August 01 ISBN: 0-7695-2909-7
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.474
This paper proposed a multi-FART neural network for color image segmentation. The network received three transformed color components - hue, value and saturation. Then, using multi-FART network categorical ability, its output will send the categorized values to the decision layer. After combined post-processing, the right categorization of color vector is output from the last layer. Compared with color watershed algorithm, experiments on color image show promising results.
Citation:
Dou Yiwen, Ma Guobing, "Segmentation of Color Images Using Multi-FART Network," snpd, vol. 1, pp.843-847, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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