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Information Technology Journal

Year: 2011 | Volume: 10 | Issue: 3 | Page No.: 607-610
DOI: 10.3923/itj.2011.607.610

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Authors


Wei Wei-Yi

Country: China

Li Zhan-Ming

Country: China

Zhang Guo-Quan

Country: China

Keywords


  • Image segmentation
  • fuzzy clustering
  • uneven illumination
  • illumination estimation
  • basis function
Research Article

Novel Fuzzy Clustering-based Image Segmentation with Simultaneous Uneven Illumination Estimation

Wei Wei-Yi, Li Zhan-Ming and Zhang Guo-Quan
The Fuzzy c-Means (FCM) is often used for image segmentation. However, it does not take into account the influence of spatial intensity variations caused by uneven illumination, the precision of image segmentation based on FCM was degraded badly. So, propose a novel robust FCM method free from uneven illumination in this correspondence, which models the uneven illumination influence as a linear combination of a set of basis function and introduce the model into objective function in FCM. So the image segmentation and the uneven illumination estimation are simultaneous achieved. The experiments show that the method proposed is efficient for influence of uneven illumination and can estimate the uneven illumination fields.
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How to cite this article

Wei Wei-Yi, Li Zhan-Ming and Zhang Guo-Quan, 2011. Novel Fuzzy Clustering-based Image Segmentation with Simultaneous Uneven Illumination Estimation. Information Technology Journal, 10: 607-610.

DOI: 10.3923/itj.2011.607.610

URL: https://scialert.net/abstract/?doi=itj.2011.607.610

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