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图像模糊信息粒的适应性度量及其在边缘检测中的应用 被引量:10

Adaptability Measure to Fuzzy Information Granule on Image and Its Application to Edge-Detection
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摘要 关于模糊信息粒的研究现在已逐渐成为一个新的热点 .本文就依靠模糊信息粒处理图像的有效性问题做了深入的讨论 ,提出了模糊信息粒相对于图像的适应性度量问题 ,并给出了一种度量的定义 ;另外 ,我们将这种度量思想应用到图像的边缘检测中 ,得到了一种新的基于模糊信息粒的边缘检测方法 .该方法有很强的物理背景 ,实验表明它的效果很好 ,是一种实用的。 Research on fuzzy information granule (FIG) has become a new hotspot lately. The validity problem for image processing with FIG is discussed in detail, and the measurement problem is presented which is about how well FIG adapts to an image, with a definition of such measure being given. Finally, the idea is applied to image edge-detection, and a new edge-detection algorithm based on FIG is obtained. This method with strong physical background is a promising and applied image processing algorithm, and its better effect can be testified by many experiments.
出处 《电子学报》 EI CAS CSCD 北大核心 2004年第2期274-277,共4页 Acta Electronica Sinica
基金 国防科技大学基础研究项目 (No .Jc 0 3 0 2 0 0 3)
关键词 模糊信息粒 适应性度量 边缘检测 模糊信息粒边缘检测算子 Algorithms Computational complexity Edge detection Fuzzy sets Measurements
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参考文献8

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