Variational segmentation of x-ray image with overlapped objects

Guoqiang Yu; Li Zhang; Jin Zhang; Yuxiang Xing; Hewei Gao

doi:10.1117/12.650449

17 February 2006 Variational segmentation of x-ray image with overlapped objects

Guoqiang Yu, Li Zhang, Jin Zhang, Yuxiang Xing, Hewei Gao

Proceedings Volume 6064, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning; 60640W (2006) https://doi.org/10.1117/12.650449
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

Image segmentation is a classical and challenging problem in image processing and computer vision. Most of the segmentation algorithms, however, do not consider overlapped objects. Due to the special characteristics of X-ray imaging, the overlapping of objects is very commonly seen in X-ray images and needs to be carefully dealt with. In this paper, we propose a novel energy functional to solve this problem. The Euler-Lagrange equation is derived and the segmentation is converted to a front propagating problem that can be efficiently solved by level set methods. We noticed that the proposed energy functional has no unique extremum and the solution relies on the initialization. Thus, an initialization method is proposed to get satisfying results. The experiment on real data validated our proposed method.

Citation Download Citation

Guoqiang Yu, Li Zhang, Jin Zhang, Yuxiang Xing, and Hewei Gao "Variational segmentation of x-ray image with overlapped objects", Proc. SPIE 6064, Image Processing: Algorithms and Systems, Neural Networks, and Machine Learning, 60640W (17 February 2006); https://doi.org/10.1117/12.650449

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