A new edge detection method based on global evaluation using fuzzy clustering-Reference-Cited by-同舟云学术

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A new edge detection method based on global evaluation using fuzzy clustering

Published:2018-09-26 Issue:6 Volume:23 Page:1809-1821
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Flores-Vidal Pablo A.,Olaso Pablo,Gómez Daniel,Guada Carely

Funder

Secretaría deEstado de Investigación, Desarrollo e Innovación

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s00500-018-3540-z/fulltext.html

Reference35 articles.

1. Basu M (2002) Gaussian-based edge-detection methods—a survey. IEEE Trans Syst Man Cybern Part C Appl Rev 32(3):252–260

2. Bezdek J, Chandrasekhar R, Attikouzel Y (1998) A geometric approach to edge detection. IEEE Trans Fuzzy Syst 6(1):52–75

3. Bogunovic H, Sonka M, Kwon YH, Kemp P, Abramoff MD, Wu X (2014) Multi-surface and multi-field co-segmentation of 3-D retinal optical coherence tomography. IEEE Trans Med Imag 33(12):2242–2253. https://doi.org/10.1109/TMI.2014.2336246

4. Bustince H, Barrenechea E, Pagola M, Fernandez J (2009) Interval-valued fuzzy sets constructed from matrices: application to edge detection. Fuzzy Sets Syst 160(13):1819–1840

5. Canny J (1986) A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell PAMI 8(6):679–698

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