An iterative fuzzy region competition algorithm for multiphase image segmentation

Verfasser / Beitragende:
[V. Borges, D. Guliato, C. Barcelos, M. Batista]
Ort, Verlag, Jahr:
2015
Enthalten in:
Soft Computing, 19/2(2015-02-01), 339-351
Format:
Artikel (online)
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024 7 0 |a 10.1007/s00500-014-1256-2  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00500-014-1256-2 
245 0 3 |a An iterative fuzzy region competition algorithm for multiphase image segmentation  |h [Elektronische Daten]  |c [V. Borges, D. Guliato, C. Barcelos, M. Batista] 
520 3 |a This paper presents a new multiphase image segmentation model based on Fuzzy Region Competition. The proposed model approximates image regions by probability density functions and uses a supervised approach in the segmentation process. The strategy of the proposed model is to perform a two-phase Fuzzy Region Competition model iteratively for image segmentation. The hard partition is obtained in each step from a determined fuzzy membership functions consequently, the segmentation process is soft, while the final result is hard, due to the simplicity of avoiding non-overlapping and vacuum regions. Finally, several experiments on multiphase images are presented to demonstrate the efficiency and robustness of the proposed model when dealing with noisy, texturized and natural images. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Variational methods  |2 nationallicence 
690 7 |a Multiphase segmentation  |2 nationallicence 
690 7 |a Probability density functions  |2 nationallicence 
690 7 |a Fuzzy region competition  |2 nationallicence 
700 1 |a Borges  |D V.  |u School of Computing, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil  |4 aut 
700 1 |a Guliato  |D D.  |u School of Computing, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil  |4 aut 
700 1 |a Barcelos  |D C.  |u School of Computing, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil  |4 aut 
700 1 |a Batista  |D M.  |u Computer Science Department, Campus Catalão, Federal University of Goiás, Catalão, Goiás, Brazil  |4 aut 
773 0 |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/2(2015-02-01), 339-351  |x 1432-7643  |q 19:2<339  |1 2015  |2 19  |o 500 
856 4 0 |u https://doi.org/10.1007/s00500-014-1256-2  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00500-014-1256-2  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Borges  |D V.  |u School of Computing, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Guliato  |D D.  |u School of Computing, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Barcelos  |D C.  |u School of Computing, Federal University of Uberlândia, Uberlândia, Minas Gerais, Brazil  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Batista  |D M.  |u Computer Science Department, Campus Catalão, Federal University of Goiás, Catalão, Goiás, Brazil  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Soft Computing  |d Springer Berlin Heidelberg  |g 19/2(2015-02-01), 339-351  |x 1432-7643  |q 19:2<339  |1 2015  |2 19  |o 500