Journal
IEEE TRANSACTIONS ON IMAGE PROCESSING
Volume 21, Issue 1, Pages 241-251Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIP.2011.2161484
Keywords
Active contours; B-splines; image segmentation; real-time image processing; variational method
Funding
- FCT, Portuguese Ministry of Science, Technology and Higher Education [SFRH/BD/62230/2009]
- Rhone-Alpes region through Explora'Doc scholarship
- Rhone-Alpes region through Accueil'Doc scholarship
- Fundação para a Ciência e a Tecnologia [SFRH/BD/62230/2009] Funding Source: FCT
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A new formulation of active contours based on explicit functions has been recently suggested. This novel framework allows real-time 3-D segmentation since it reduces the dimensionality of the segmentation problem. In this paper, we propose a B-spline formulation of this approach, which further improves the computational efficiency of the algorithm. We also show that this framework allows evolving the active contour using local region-based terms, thereby overcoming the limitations of the original method while preserving computational speed. The feasibility of real-time 3-D segmentation is demonstrated using simulated and medical data such as liver computer tomography and cardiac ultrasound images.
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