DocumentCode :
2139323
Title :
Oriented Smoothness Aided Harmonic Gradient Vector Flow for Active Contours
Author :
Li, Kun ; Wang, Yuanquan
Author_Institution :
Tianjin Key Lab. of Intell. Comput. & Novel Software Technol., Tianjin Univ. of Technol., Tianjin, China
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
5
Abstract :
A new external force called oriented smoothness aided harmonic gradient vector flow (OSAHGVF) is proposed for active contours. This proposed method incorporate the oriented smoothness borrowed from optical flow into the harmonic gradient vector flow (HGVF) model, therefore, there are three terms, i.e., the harmonic term, the oriented smoothness term and the fidelity term, in the model. Two weighting functions are utilized to regularize the effect of the first two terms respectively, aiming at extending the capture range and preserving object boundaries simultaneously. Experiments and comparisons with the gradient vector flow (GVF) are presented to show the advantages of this approach, including superior noise robustness, edge-preserving and C-shape concavity convergence.
Keywords :
gradient methods; image segmentation; surface topography; C-shape concavity convergence; active contour; active contours; edge preservation; fidelity term; image segmentation; object boundary; oriented smoothness aided harmonic gradient vector flow; weighting functions; Active contours; Computer science education; Computer vision; Convergence; Diffusion processes; Educational technology; Image motion analysis; Laboratories; Noise robustness; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5303489
Filename :
5303489
Link To Document :
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