Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32414
Title: Hierarchical genetic image segmentation algorithm based on histogram dichotomy
Authors: Peng, H
Long, F
Chi, Z 
Feng, DD 
Siu, W 
Issue Date: 2000
Source: Electronics letters, 2000, v. 36, no. 10, p. 872-874
Abstract: A new hierarchical distributed genetic algorithm (HDGA) for image segmentation is proposed based on histogram dichotomy without an a priori number image regions. It can take advantage of statistical information and spatial information to segment an image. Experimental results show that HDGA outperforms the distributed genetic algorithm (DGA) in both computational efficiency and segmentation quality.
Publisher: Institution of Engineering and Technology
Journal: Electronics letters 
ISSN: 0013-5194
EISSN: 1350-911X
DOI: 10.1049/el:20000660
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