Earticle

초록

영어

An image segmentation fast method based on multi-scale belief propagation is proposed to solve the concrete CT image segmentations problem. Firstly, according to the feature of belief propagation algorithm, a self-characteristic multiscale belief propagation(MBP) is proposed; Then, according to compute complexity problem in process of belief messages propagation, a method to reduce quantity of algorithm compute is proposed; Finally, using standard images to validate nicety and speediness on our method ,and applying on concrete CT image segmentation. The experiment results show that the proposed method can improve efficiency and precision of the image segmentation, and afford an important assisting method on concrete meso-structure CT image study of architecture projection. The method has important projection applying meaning.

목차

Abstract
 1. Introduction
 2. Image Model
 3. SBP (Standard Belief Propagation) Image Segmentation Algorithm
 4. Multi-scale Fast Algorithms
 5. Image Segmentation and Experimental Analysis
  5.1. Standard Image Segmentation experiment
  5.2. Concrete CT image segmentation
 6. Conclusions
 Acknowledgements
 References

키워드

저자

• Zhao Liang [ Dept of Info and Automation, Xi’an Univ. of Arch.＆Tech., Xi’an 710055 , China ]
• Lu Jun [ School of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, China ]
• Chen Deng-feng [ Dept of Info and Automation, Xi’an Univ. of Arch.＆Tech., Xi’an 710055 , China ]
• Li chang-hua [ Dept of Info and Automation, Xi’an Univ. of Arch.＆Tech., Xi’an 710055 , China ]
• Dang Fa-ning [ Institute of Geotechnical Engineering, Xi' an University of Technology, Xi'an 710048, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605