Colour image segmentation in various illumination circumstances

Chiunhsiun Lin, Ching Hung Su, Hsuan Shu Huang, Kuo Chin Fan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

We propose a novel colour segmentation algorithm can work in various illumination circumstances. The proposed colour segmentation algorithm operates directly on RGB colour space without the need of colour space transformation and it is very robust to various illumination conditions. Our approach can be employed in various domains (e.g., human skin colour segmentation, the maturity of tomatoes). Furthermore, our approach has the benefits of being insensitive to rotation, scaling, and translation. In addition, the system can be applied to different applications, for example, colour segmentation for fruits (vegetables) quality control by merely changing the values of the parameters (α, β1, β2, γ1, γ2). Experimental results demonstrate the practicability of our proposed approach in colour segmentation.

Original languageEnglish
Title of host publicationRecent Researches in Circuits, Systems, Electronics, Control and Signal Processing - 9th WSEAS International Conference on Circuits, Systems, Electronics, Control and Signal Processing, CSECS'10
Pages179-184
Number of pages6
StatePublished - 2010
Event9th WSEAS International Conference on Circuits, Systems, Electronics, Control and Signal Processing, CSECS'10 - Vouliagmeni, Athens, Greece
Duration: 29 Dec 201031 Dec 2010

Publication series

NameInternational conference on Circuits, Systems, Electronics, Control and Signal Processing - Proceedings

Conference

Conference9th WSEAS International Conference on Circuits, Systems, Electronics, Control and Signal Processing, CSECS'10
Country/TerritoryGreece
CityVouliagmeni, Athens
Period29/12/1031/12/10

Keywords

  • Colour segmentation
  • Image processing
  • Quality control
  • RGB colour space
  • Skin detection

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