Multi-target extraction algorithm based on edge restriction and attraction field regularization.
- Author:
Hong-Xia LUAN
1
;
Fei-Hu QI
Author Information
1. Department of Computer Science and Engineering, Shanghai Jiaotong University, Shanghai 200030. luan-hx@cs.sjtu.edu.cn
- Publication Type:Journal Article
- MeSH:
Algorithms;
Artificial Intelligence;
Brain;
anatomy & histology;
Humans;
Image Enhancement;
methods;
Image Interpretation, Computer-Assisted;
methods;
Information Storage and Retrieval;
methods;
Magnetic Resonance Imaging;
methods;
Models, Theoretical
- From:
Chinese Journal of Medical Instrumentation
2006;30(2):97-116
- CountryChina
- Language:Chinese
-
Abstract:
The topologically-adaptable model is an effective method for the contour detection of multiple objects on an image. However, it meets many problems when we apply it to MR brain images, such as poor convergence to boundary concavities, resulting from the broken boundary, and miserable anti-noise ability. In this paper, we proposes a new algorithm, named multi-target extraction algorithm based on edge restriction and attraction field regularization, to overcome these shortcomings. This new algorithm uses prior knowledge about target to perform edge restriction to get the only edge of the object of interest and to regularize attraction field to enlarge attraction field. Results show that the new algorithm can extract the target contour quickly and accurately when we apply it in MR brain images.
