Title :
Distraction in GVF-based segmentation
Author :
Cheng, Jierong ; Foo, Say-Wei
Author_Institution :
Nanyang Technol. Univ., Singapore
Abstract :
For complex images with the presence of stronger edges near the desired boundary, the snake used in gradient vector flow (GVF)-based segmentation method may be distracted to converge wrongly on the boundary with stronger edges. The factors and conditions which bring about this phenomenon are investigated in detail and the results are described in this paper. Possible solutions to the problem are also presented.
Keywords :
gradient methods; image segmentation; GVF-based segmentation; complex images; distraction phenomenon; gradient vector flow; Active contours; Computer errors; Convergence; Deformable models; Diffusion processes; Image converters; Image segmentation; Laplace equations; Partial differential equations; Shape; DDGVF distraction; GVF; segmentation;
Conference_Titel :
Information, Communications & Signal Processing, 2007 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0982-2
Electronic_ISBN :
978-1-4244-0983-9
DOI :
10.1109/ICICS.2007.4449682
