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An Optimization Clustering Algorithm Based on Texture Feature Fusion for Color Image Segmentation
Hubei Collaborative Innovation Centre for High-efficiency Utilization of Solar Energy, Hubei University of Technology, China / School of Electrical and Electronic Engineering, Hubei University of Technology, China.
School of Electrical and Electronic Engineering, Hubei University of Technology, China / Faculty of Technology, University of Vaasa, Vaasa, Finland.ORCID iD: 0000-0001-8006-3236
School of Computer Science, Hubei University of Technology, China.
2015 (English)In: Algorithms, ISSN 1999-4893, E-ISSN 1999-4893, Vol. 8, no 2, p. 234-247Article in journal (Refereed) Published
Abstract [en]

We introduce a multi-feature optimization clustering algorithm for color image segmentation. The local binary pattern, the mean of the min-max difference, and the color components are combined as feature vectors to describe the magnitude change of grey value and the contrastive information of neighbor pixels. In clustering stage, it gets the initial clustering center and avoids getting into local optimization by adding mutation operator of genetic algorithm to particle swarm optimization. Compared with well-known methods, the proposed method has an overall better segmentation performance and can segment image more accurately by evaluating the ratio of misclassification.

Place, publisher, year, edition, pages
MDPI AG , 2015. Vol. 8, no 2, p. 234-247
National Category
Computer Vision and Robotics (Autonomous Systems) Remote Sensing Signal Processing Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-133468DOI: 10.3390/a8020234OAI: oai:DiVA.org:liu-133468DiVA, id: diva2:1060505
Available from: 2016-12-28 Created: 2016-12-28 Last updated: 2018-01-13Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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