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Novel fuzzy clustering-based image segmentation with simultaneous uneven illumination estimation
Wei, Wei-Yi1,2; Li, Zhan-Ming1,2; Zhang, Guo-Quan1,2
刊名Information Technology Journal
2011
卷号10期号:3页码:607-610
关键词Functions Fuzzy clustering Basis functions Fuzzy C mean Illumination estimation Linear combinations Objective functions Spatial intensity Uneven illuminations
ISSN号18125638
DOI10.3923/itj.2011.607.610
英文摘要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. © 2011 Asian Network for Scientific Information.
语种英语
出版者Asian Network for Scientific Information, 308-Lasani Town, Sargodha Road
内容类型期刊论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/111663]  
专题电气工程与信息工程学院
作者单位1.College of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China;
2.Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou 730050, China
推荐引用方式
GB/T 7714
Wei, Wei-Yi,Li, Zhan-Ming,Zhang, Guo-Quan. Novel fuzzy clustering-based image segmentation with simultaneous uneven illumination estimation[J]. Information Technology Journal,2011,10(3):607-610.
APA Wei, Wei-Yi,Li, Zhan-Ming,&Zhang, Guo-Quan.(2011).Novel fuzzy clustering-based image segmentation with simultaneous uneven illumination estimation.Information Technology Journal,10(3),607-610.
MLA Wei, Wei-Yi,et al."Novel fuzzy clustering-based image segmentation with simultaneous uneven illumination estimation".Information Technology Journal 10.3(2011):607-610.
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