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
Publisher: Institution of Engineering and Technology
Source: Electronics letters, 2000, v. 36, no. 10, p. 872-874 How to cite?
Journal: Electronics letters 
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.
URI: http://hdl.handle.net/10397/32414
ISSN: 0013-5194
EISSN: 1350-911X
DOI: 10.1049/el:20000660
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

4
Last Week
0
Last month
0
Citations as of Aug 24, 2017

WEB OF SCIENCETM
Citations

2
Last Week
0
Last month
0
Citations as of Aug 20, 2017

Page view(s)

37
Last Week
1
Last month
Checked on Aug 20, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.