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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