DocumentCode :
1851612
Title :
Research on finite element segmentation algorithm for jacquard images
Author :
Liu, Yang ; Li, Xudong
Author_Institution :
Coll. of City, Wenzhou Univ., China
Volume :
4
fYear :
2005
fDate :
29 July-1 Aug. 2005
Firstpage :
1813
Abstract :
This paper presented a novel adaptive finite element segmentation algorithm to extract pattern structures within a jacquard image. Considering the important role of a discrete finite element approximation method for phase field model, a mesh adjustment procedure was deployed to characterize the essential contours of jacquard patterns. A numerical algorithm was proposed to find the minimum of the discrete version of phase field model on adaptive finite element spaces. Experimental results on synthetic and jacquard images have shown the effectiveness and robustness of the algorithm.
Keywords :
finite element analysis; image recognition; image segmentation; discrete finite element approximation; finite element segmentation; jacquard images; pattern structures extraction; phase field model; Approximation methods; Cities and towns; Educational institutions; Finite element methods; Image processing; Image segmentation; Level set; Noise shaping; Numerical simulation; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2005 IEEE International Conference
Print_ISBN :
0-7803-9044-X
Type :
conf
DOI :
10.1109/ICMA.2005.1626835
Filename :
1626835
Link To Document :
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