The application of the multi-scale GVF model based on the B-spline lifting wavelet in medical images segmentation

Juntao Xue; Zhengguang Liu; Hongwei Zhang; Shucheng Wang

doi:10.1117/12.725334

11 January 2007 The application of the multi-scale GVF model based on the B-spline lifting wavelet in medical images segmentation

Juntao Xue, Zhengguang Liu, Hongwei Zhang, Shucheng Wang

Author Affiliations +

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available