通过模糊聚类进行边界检测

[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI:10.1109/FUZZY.1992.258607

R. Davé

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引用次数: 44

摘要

数字图像的边界检测被看作是一个聚类问题。综述了基于模糊聚类的边界检测技术。算法检测线性，平面和弯曲的边界检测进行了调查。讨论了这些技术的局限性，并对克服这些局限性的方法进行了回顾。

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Boundary detection through fuzzy clustering

Boundary detection in digital images is viewed as a clustering problem. A survey of boundary detection techniques based on fuzzy clustering is presented. Algorithms to detect linear, planar, and curved boundary detection are surveyed. Limitations of these techniques are discussed, along with a review of approaches proposed to overcome these limitations.<>

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[1992 Proceedings] IEEE International Conference on Fuzzy Systems

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