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Selection of Mapping Function for Optimal Enhancement Using Fuzy Set Theoretic Measure

机译：使用富子设定理论测量选择映射函数的映射函数

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Algorithm for selection of mapping function appropriate for object enhancement of a given image is described. The algorithm does not need iterative visual interaction and prior knowledge of image statistics in order to select the transformation function for its optimal enhancement. Quantitative measure for evaluating enhancement quality has been provided based on fuzzy Geometry. The concept of minimizing fuzziness (ambiguity) in both grayness and in spatial domain, as used by Pal and Rosenfeld [4], has been adopted.

机译：描述了选择适合于对象增强的映射功能的算法。该算法不需要迭代视觉交互和图像统计的先验知识，以便选择其最佳增强的转换功能。基于模糊几何形状提供了评估增强质量的定量措施。已经采用了PAL和Rosenfeld中使用的灰色和空间域中的模糊性（模糊性）的概念，如PAL和Rosenfeld [4]。

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《IEEE Region 10 International Conference on EC3-Energy, Computer, Communication and Control Systems 》|2001年||共6页
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Kundu M.K.; Pal S.K.; Institute of Electric and Electronic Engineer;
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中图分类自动化技术、计算机技术 ;
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Selection of Mapping Function for Optimal Enhancement Using Fuzy Set Theoretic Measure

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