Hierarchical genetic image segmentation algorithm based on histogram dichotomy

Hanchuan Peng, Fuhui Long, Zheru Chi, David Dagan Feng, Wanchi Siu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)872-874
Number of pages3
JournalElectronics Letters
Issue number10
Publication statusPublished - 11 May 2000

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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