Share Email Print

Proceedings Paper

The application of the multi-scale GVF model based on the B-spline lifting wavelet in medical images segmentation
Author(s): Juntao Xue; Zhengguang Liu; Hongwei Zhang; Shucheng Wang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 11 January 2007
PDF: 7 pages
Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62793F (11 January 2007); doi: 10.1117/12.725334
Show Author Affiliations
Juntao Xue, Tianjin Univ. (China)
Zhengguang Liu, Tianjin Univ. (China)
Hongwei Zhang, Tianjin Univ. (China)
Shucheng Wang, Tianjin Telecom Corp. (China)

Published in SPIE Proceedings Vol. 6279:
27th International Congress on High-Speed Photography and Photonics
Xun Hou; Wei Zhao; Baoli Yao, Editor(s)

© SPIE. Terms of Use
Back to Top