Title :
Boundary detection through fuzzy clustering
Author_Institution :
Dept. of Mech. & Ind. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
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
Keywords :
edge detection; fuzzy set theory; boundary detection; curved boundary; digital images; fuzzy clustering; image recognition; linear boundary; planar boundary; Clustering algorithms; Digital images; Image edge detection; Industrial engineering; Layout; Pattern analysis; Pattern recognition; Piecewise linear approximation; Piecewise linear techniques; Prototypes;
Conference_Titel :
Fuzzy Systems, 1992., IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0236-2
DOI :
10.1109/FUZZY.1992.258607
