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

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

Wei Wei-Yi, Li Zhan-Ming and Zhang Guo-Quan

Abstract: 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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