DocumentCode
3450393
Title
Boundary detection through fuzzy clustering
Author
Dave, Rajesh N.
Author_Institution
Dept. of Mech. & Ind. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fYear
1992
fDate
8-12 Mar 1992
Firstpage
127
Lastpage
134
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1992., IEEE International Conference on
Conference_Location
San Diego, CA
Print_ISBN
0-7803-0236-2
Type
conf
DOI
10.1109/FUZZY.1992.258607
Filename
258607
Link To Document