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

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... 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. An image segmentation fast method based on multiscale belief propagation is proposed to solve the concrete CT image segmentations problem in this paper, and improve efficiency and precision of the image segmentation. Compared to ICM, Metropolis, Gibbs sampling [5] and SBP, the new method improves efficiency and precision of the image segmentation efficiently, and be able to reflects the complete internal structure and defects of concrete. It reflects the microstructure of concrete for the full segmentation. Afford an important assisting method on concrete meso-structure CT image study of architecture projection. The method has important projection applying meaning.