xushengjun
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- Professor
- Supervisor of Master's Candidates
- Name (Pinyin):xushengjun
- School/Department:信息与控制工程学院
- Education Level:With Certificate of Graduation for Doctorate Study
- Degree:Doctoral Degree in Engineering
- Professional Title:Professor
- Status:Employed
- Academic Titles:硕士生导师
- Other Post:兼任陕西省自动化学会理事，陕西省仪器仪表学会理事，西安市建筑制造智动化技术重点实验室副主任，西安建筑科技大学人工智能与机器人研究所所长
- Alma Mater:西安交通大学
- Teacher College:信息与控制工程学院
- Discipline:Control Science and Engineering
Other Contact Information
- Email：
- Paper Publications
Image Segmentation Based on GBP Algorithm
Release time:2024-08-09 Hits:
- Affiliation of Author(s):信息与控制工程学院
- Journal:2010 International Conference on Electrical and Control Engineering
- Key Words:中文关键字：图像分割；马尔可夫随机场；GBP算法，英文关键字：Image segmentation; GBP algorithm; EM algorithm; G
- Abstract:Belief propagation (BP) algorithm is an efficient way for image segmentation based on graphical models. However BP fails to converge when the graph has cycles. Generalized belief propagation (GBP) provides more accurate solutions on such graphs. In this paper, a method based on GBP algorithm is proposed for image segmentation. In proposed method, class label is modeled using Gaussian Markov random fields (GMRF), and expectation maximization (EM) algorithm was adopted to estimate the hyper-parameters of GMRF. After region graph constructed, we run GBP algorithm on region graph, to maximize the posteriori conditional probability distribution based on Bayesian theory. The analysis and experiments on natural images showed that it gives much more accurate results than those found using ordinary belief propagation
- Note:徐胜军
- Co-author:张熹
- First Author:xushengjun
- Indexed by:Journal paper
- Volume:卷：
- Issue:期：
- Page Number:页：1158
- Translation or Not:no
- Date of Publication:2010-06-01