Anping Song

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Watershed transformation is a common technique for image segmentation. However, its use for medical image segmentation has been limited particularly due to over-segmentation. In response to the characteristics of medical image, especially the contour extraction from the MRI (Magnetic Resonance Imaging) brain image, this paper proposes an improved method in(More)
To segment magnetic resonance image series is an interdisciplinary topic that involves both medical and computer science. It is one of the most important steps for medical diagnosis and quantitative analysis. This paper proposes an automatic segmentation method based on support vector machine (SVM). Feature vectors are generated according to both grayscale(More)
Medical image registration is a critical step in medical image processing. In this paper, a mixed-type image registration approach is presented, which combines the segmentation-based and voxel-based registration. Firstly, the experimental images are preprocessed, including Digital Imaging and Communication of Medicine (DICOM) format conversion, denoising,(More)
In numerous studies on fuzzy association rules mining, membership functions are usually provided by experts. It is unrealistic to predefine appropriate membership functions for every different dataset in real-world applications. In order to solve the problem, metaheuristic algorithms are applied to the membership functions optimization. As a popular(More)
The lattice Boltzmann method (LBM) is a computational method based on kinetic description of fluid mechanics. The Intel Many Integrated Core (MIC) architecture designed for highly parallel computing has not been fully evaluated for LBM. This paper proposes a hybrid MPI/OpenMP parallel model of LBM based on CPU+MIC heterogeneous architecture, using the(More)
In this paper, using hierarchical DCT, the notation maximal locally linear similarity (MLL similarity for short) is defined and discussed. The intention to the discussion is that MLL similarity can be used to construct a scheme of the vector quantization coding for medical images and images in other application areas
NetSolve is a kind of grid middleware used for high performance compute. In this article, the architecture and operational principle of NetSolve are first analyzed. This paper mainly discusses the implementation of the server with several numerical packages and numerical experiment is given. At last, we point out the limitations of the Netsolve.
Computed Tomography(CT) is one of the successful methods, in which mathematical theories are combined with engineering technology. Volume CT will replace the cross-sectional CT that has been widely used. In this paper two new cone vertex orbits, which are circle-and-arc and regular triangular pyramid lines, have been proposed and their complete conditions(More)