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Information Technology Journal

Year: 2011 | Volume: 10 | Issue: 3 | Page No.: 607-610
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Authors

Wei Wei-Yi

Li Zhan-Ming

Zhang Guo-Quan

Keywords

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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