吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (6): 2075-2079.doi: 10.13229/j.cnki.jdxbgxb201506049

Previous Articles     Next Articles

Texture image segmentation using hierarchical MRF model based on the interactive potential function and mean-field parameter estimation

LI Yi-bing1, YANG Peng1, YE Fang1, LIU Dan-dan2   

  1. 1.College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001,China;
    2.College of Electrical and Control Engineering, Heilongjiang University of Science and Technology, Harbin 150022, China
  • Received:2014-04-04 Online:2015-11-01 Published:2015-11-01

RICH HTML

0   

PDF (PC)

339

Abstract: To solve the difficult problem of expectations caused by interaction between hidden variables when using Expectation-maximization (EM) algorithm to estimate parameters for hierarchical Markov Random Fields (MRF) model, the mean-field theory is introduced into Gaussian-MRF (GMRF) model. Parameters can be estimated easily through simple linear equation in case of without window function. An interactive potential function based on Bayesian belief propagation algorithm is proposed to change the situation that the fixed or variable weighted potential function can not express the interaction of image regions. Experiments demonstrate that the proposed method not only has good regional classification but also smoothly internal region. In addition, the mixed and confused phenomenon of traditional hierarchical MRF is improved in wavelet domain.

Key words: communication, hierarchical MRF, mean-field theory, linear equation, interactive potential function, image segmentation

CLC Number: 

  • TN911.73
[1] Zhang Jun. The mean field theory in EM procedures for Markov random fields[J]. IEEE Trans Signal Processing,1992,40(10):2570-2583.
[2] 李骜,李一兵,刘丹丹. 基于照度划分的多尺度图像增强新算法[J]. 吉林大学学报:工学版,2012,42(2):494-498.
Li Ao, Li Yi-bing,Liu Dan-dan. Multi-scale image enhancement algorithm based on illuminance partition[J]. Journal of Jilin University(Engineering and Technology Edition),2012,42(2):494-498.
[3] Deng Hua-wu,Clausi D A. Unsupervised image segmentation using a simple MRF model with a new implementation scheme[J]. Pattern Recognition,2004,37(12):2323-2335.
[4] Kim J H, Yun I D,Lee S U. Unsupervised segmentation of textured image using Markov random field in random spatial interaction[C]∥1998 International Conference on Image Processing,Chicago,IL,1998:756-760.
[5] Zhang Jun, Modestino J W, Langan D A. Maximum likelihood parameter estimation for unsupervised stochastic model-based image segmentation[J]. IEEE Trans Image Processing,1994,3(4):404-420.
[6] 刘国英,等. 基于Markov随机场的小波域图像建模及分割[M]. 北京:科学出版社,2010:91-105.
[7] 刘雪娜,侯宝明. 变权重MRF算法在图像自动无监督分割中的应用[J]. 计算机与现代化,2012,1(11):78-80.
Liu Xue-na,Hou Bao-ming.Weighted MRF algorithm for automatic unsupervised image segmentation[J].Computer and Modernization,2012,1(11):78-80.
[8] 毕晓君,彭伟. 基于改进贝叶斯优化算法的图像分割方法[J]. 应用科技,2010(12):19-22.
Bi Xiao-jun,Peng Wei. Image segmentation based on improved Bayesian optimization algorithm[J]. Applied Science And Technology,2010(12):19-22.
[9] 宋晓峰,王爽,刘芳. 基于区域 MRF 和贝叶斯置信传播的SAR图像分割[J]. 电子学报, 2010, 38(12):2810-2815.
Song Xiao-feng,Wang Shuang,Liu Fang. SAR image segmentation using Markov random field based on regions and bayes belief propagation[J]. Acta Electronica Sinica,2010,38(12):2810-2815.
[10] 李骜,李一兵,刘丹丹,等. 基于NSCT的多曝光工件图像Retinex增强方法[J]. 吉林大学学报:工学版,2012,42(6):1592-1596.
Li Ao,Li Yi-bing,Liu Dan-dan,et al. Retinex enhancement method of multi-exposure work piece images based on NSCT[J]. Journal of Jilin University (Engineering and Technology Edition),2012,42(6):1592-1596.
[1] CHEN Yong-heng,LIU Fang-hong,CAO Ning-bo. Analysis of conflict factors between pedestrians and channelized right turn vehicles at signalized intersections [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1669-1676.
[2] CHANG Shan,SONG Rui,HE Shi-wei,LI Hao-dong,YIN Wei-chuan. Recycling model of faulty bike sharing [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1677-1684.
[3] QU Da-yi,YANG Jing-ru,BING Qi-chun,WANG Wu-lin,ZHOU Jing-chun. Arterial traffic offset optimization based on queue characteristics at adjacent intersections [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1685-1693.
[4] ZHOU Yan-guo,ZHANG Hai-lin,CHEN Rui-rui,ZHOU Tao. Two-level game approach based resource allocation scheme in cooperative networks [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1879-1886.
[5] LIU Zhong-min,WANG Yang,LI Zhan-ming,HU Wen-jin. Image segmentation algorithm based on SLIC and fast nearest neighbor region merging [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(6): 1931-1937.
[6] LIU Xiang-yu, YANG Qing-fang, KUI Hai-lin. Traffic guidance cell division based on random walk algorithm [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1380-1386.
[7] LIU Zhao-hui, WANG Chao, LYU Wen-hong, GUAN Xin. Identification of data characteristics of vehicle running status parameters by nonlinear dynamic analysis [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1405-1410.
[8] LUAN Xin, DENG Wei, CHENG Lin, CHEN Xin-yuan. Mixed Logit model for understanding travel mode choice behavior of megalopolitan residents [J]. 吉林大学学报(工学版), 2018, 48(4): 1029-1036.
[9] SUN Xiao-ying, HU Ze-zheng, YANG Jin-peng. Assessment method of electromagnetic pulse sensitivity of vehicle engine system based on hierarchical Bayesian networks [J]. 吉林大学学报(工学版), 2018, 48(4): 1254-1264.
[10] DONG Ying, CUI Meng-yao, WU Hao, WANG Yu-hou. Clustering wireless rechargeable sensor networks charging schedule based on energy prediction [J]. 吉林大学学报(工学版), 2018, 48(4): 1265-1273.
[11] MOU Zong-lei, SONG Ping, ZHAI Ya-yu, CHEN Xiao-xiao. High accuracy measurement method for synchronous triggering pulse transmission delay in distributed test system [J]. 吉林大学学报(工学版), 2018, 48(4): 1274-1281.
[12] DING Ning, CHANG Yu-chun, ZHAO Jian-bo, WANG Chao, YANG Xiao-tian. High-speed CMOS image sensor data acquisition system based on USB 3.0 [J]. 吉林大学学报(工学版), 2018, 48(4): 1298-1304.
[13] CHEN Yong-heng, LIU Xin-shan, XIONG Shuai, WANG Kun-wei, SHEN Yao, YANG Shao-hui. Variable speed limit control under snow and ice conditions for urban expressway in junction bottleneck area [J]. 吉林大学学报(工学版), 2018, 48(3): 677-687.
[14] WANG Zhan-zhong, LU Yue, LIU Xiao-feng, ZHAO Li-ying. Improved harmony search algorithm on truck scheduling for cross docking system [J]. 吉林大学学报(工学版), 2018, 48(3): 688-693.
[15] LI Zhi-hui, HU Yong-li, ZHAO Yong-hua, MA Jia-lei, LI Hai-tao, ZHONG Tao, YANG Shao-hui. Locating moving pedestrian from running vehicle [J]. 吉林大学学报(工学版), 2018, 48(3): 694-703.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright © Journal of Jilin University(Engineering and Technology Edition), All Rights Reserved.
Tel: +86-431-85095297　Fax: +86-431-85094074　E-mail: xbgxb@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd