DocumentCode
3223972
Title
A new deformable contour method
Author
Wang, Xun ; Wee, William G.
Author_Institution
Dept. of Electr. & Comput. Eng. & Comput. Sci., Cincinnati Univ., OH, USA
fYear
1999
fDate
1999
Firstpage
430
Lastpage
435
Abstract
In this paper, a new deformable contour method is presented and tested. The method incorporates several advantages and avoids the disadvantages of both the level set and the non-deterministic deformable contour methods. It takes the level set approach as a core procedure with an enhanced velocity control using a region growing-like function, and the introduction of the non-deterministic approach to generate a set of candidate contours for evaluation by an energy function. The resulting procedure can handle blurred and/or opened contours, and noisy contours in images with a complex structure. The procedure is automatic and rather insensitive to the initial location, and has only one parameter σ to adjust. Local energy minima contours can easily be tuned to attend. Experimental results on human abdominal CT images, brain MRI images, and ultrasound pig heart images are favorably reported
Keywords
biomedical MRI; brain; cardiology; computerised tomography; edge detection; image segmentation; medical image processing; minimisation; ultrasonic imaging; abdominal CT images; blurred contours; brain MRI images; candidate contours; deformable contour method; energy function; enhanced velocity control; level set approach; local energy minima; noisy contours; non-deterministic approach; opened contours; region growing; ultrasound pig heart images; Computed tomography; Computer science; Deformable models; Heart; Image processing; Image segmentation; Level set; Magnetic resonance imaging; Stochastic processes; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Processing, 1999. Proceedings. International Conference on
Conference_Location
Venice
Print_ISBN
0-7695-0040-4
Type
conf
DOI
10.1109/ICIAP.1999.797633
Filename
797633
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