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11 January 2007 The application of the multi-scale GVF model based on the B-spline lifting wavelet in medical images segmentation
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Proceedings Volume 6279, 27th International Congress on High-Speed Photography and Photonics; 62793F (2007) https://doi.org/10.1117/12.725334
Event: 27th International congress on High-Speed Photography and Photonics, 2006, Xi'an, China
Abstract
Snakes, or active contours, are used extensively in computer vision and image processing application, particularly to locate object boundaries. GVF (Gradient Vector Flow) model has resolved two key problems of the traditional deformable model. However, it still requires both the initial contour being close to the target and a large amount of computation. And it is difficult to process the cupped target edge. This paper analysis the characteristics of deformable model firstly, then proposed a new method based on B-spline lifting wavelet. Experimentations based on GVF model and MRI segmentation show that the proposed method is a good resolution to the initialization sensitivity and the large computation.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Juntao Xue, Zhengguang Liu, Hongwei Zhang, and Shucheng Wang "The application of the multi-scale GVF model based on the B-spline lifting wavelet in medical images segmentation", Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62793F (11 January 2007); https://doi.org/10.1117/12.725334
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