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논문검색

Multiscale Belief Propagation on Concrete CT Image Fast Segmentation

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

저자정보

  • 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

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