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Proceedings Paper

Novel color image segmentation using self-generating prototypes
Author(s): Chunping Liu; Xiaohua Yuan; Zhaohui Wang
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Paper Abstract

A new self-generating prototypes method based on SGNT is presented. This method uses reference patterns as initial prototype. This procedure can be implemented in a SGNT with specific architecture consisting of one root and the initial class number of reference patterns. The leaf in SGNT is defined with prototype vector, learning vector, center property vector and distant property vector. After training, prototype set are outputted. The main advantage of this method is that both the number of prototypes and their locations are learned from the training set without much human intervention. Experiments with synthesis and real color image the excellent performance of this classification scheme as compared to existing K-nearest neighbor (K-NN) and Learning vector quantization (LVQ) algorithm.

Paper Details

Date Published: 15 November 2007
PDF: 8 pages
Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67864A (15 November 2007); doi: 10.1117/12.751169
Show Author Affiliations
Chunping Liu, Soochow Univ. (China)
Xiaohua Yuan, Shanghai Fisheries Univ. (China)
Zhaohui Wang, Soochow Univ. (China)

Published in SPIE Proceedings Vol. 6786:
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition
Tianxu Zhang; Tianxu Zhang; Carl Anthony Nardell; Carl Anthony Nardell; Hanqing Lu; Duane D. Smith; Hangqing Lu, Editor(s)

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