• Journal of Infrared and Millimeter Waves
  • Vol. 40, Issue 1, 108 (2021)
Wen-Jun SHI1, Deng-Wei WANG2、3、*, Wan-Suo LIU1, and Da-Gang JIANG2、3
Author Affiliations
  • 1Aviation Maintenance School for NCO,Air Force Engineering University,Xinyang 464000,China
  • 2School of Aeronautics and Astronautics,University of Electronic Science and Technology of China,Chengdu 611731,China
  • 3Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province,Chengdu 611731,China
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    DOI: 10.11972/j.issn.1001-9014.2021.01.016 Cite this Article
    Wen-Jun SHI, Deng-Wei WANG, Wan-Suo LIU, Da-Gang JIANG. GPU accelerated level set model solving by lattice boltzmann method with application to image segmentation[J]. Journal of Infrared and Millimeter Waves, 2021, 40(1): 108 Copy Citation Text show less
    References

    [1] M. Kass, A. Witkin, D. Terzopoulos. Snakes: active contour models. International Journal of Computer Vision, 1, 321-331(1988).

    [2] V. Caselles, R. Kimmel, G. Sapiro. Geodesic active contours, 694-699(1995).

    [3] G.P. Zhu, Sh.Q. Zhang, Q.SH. Zeng et al. Boundary-based image segmentation using binary level set method. Optical Engineering, 46, 050501-1-050501-3(2007).

    [4] S. Osher, J.A. Sethian. Fronts propagating with curvature dependent speed: algorithms based on Hamilton–Jacobi formulations. Journal of Computational Physics, 79, 12-49(1988).

    [5] C. Li, C. Kao, J. Gore et al. Minimization of region-scalable fitting energy for image segmentation. IEEE Transactions on Image Processing, 17, 1940-1949(2008).

    [6] A. Tsai, A. Yezzi, A.S. Willsky. Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification. IEEE Transaction on Image Processing, 10, 1169-1186(2001).

    [7] L.A. Vese, T.F. Chan. A multiphase level set framework for image segmentation using the Mumford-Shah model. International Journal of Computer Vision, 50, 271-293(2002).

    [8] A. Vasilevskiy, K. Siddiqi. Flux-maximizing geometric flows. IEEE Transaction on Pattern Analysis and Machine Intelligence, 24, 1565-1578(2002).

    [9] Vicent Caselles, Ron Kimmel, Guillermo Sapiro. Geodesic Active Contours. International Journal of Computer Vision, 22, 61-79(1997).

    [10] Chenyang Xu, Jerry L. Prince. Snakes, Shapes, and Gradient Vector Flow. IEEE Transactions on Image Processing, 7, 359-369(1998).

    [11] Tony F. Chan, Luminita A. Vese. Active Contours Without Edges. IEEE Transactions on Image Processing, 10, 266-277(2001).

    [12] Remi Ronfard. Region-Based Strategies for Active Contour Models. International Journal of Computer Vision, 13, 229-251(1994).

    [13] Chunming Li, Chiu-Yen Kao, John C. Gore et al. Implicit Active Contours Driven by Local Binary Fitting Energy, 1-7(2007).

    [14] Wang Li, Lei He, Arabinda Mishra et al. Active contours driven by local Gaussian distribution fitting energy. Signal Processing, 89, 2435-2447(2009).

    [15] Kaihua Zhang, Huihui Song, Lei Zhang. Active contours driven by local image fitting energy. Pattern Recognition, 43, 1199-1206(2010).

    [16] Chunming Li, Chenyang Xu, Changfeng Gui et al. Fox. Level Set Evolution Without Re-initialization: A New Variational Formulation, 430-436(2005).

    [17] A. P. Zijdenbos, B. M. Dawant, R. A. Margolin et al. Morphometric Analysis of White Matter Lesions in MR Images: Method and Validation. IEEE Transactions on Medical Imaging, 13, 716-724(1994).

    [18] Q. Chang, T. Yang. A lattice Boltzmann method for image denoising. IEEE Trans. Image Process, 18, 2797-2802(2009).

    [19] Y. H. Qian, D. D'Humieres, P. Lallemand. Lattice BGK models for Navier-Stokes equation. Europhys. Lett, 17, 479-484(1992).

    [20] S. Chen, G. D. Doolen. Lattice Boltzmann method for fluid flows. Annu. Rev. Fluid Mech., 30, 329-364(1998).

    [21] X. He, Q. Zou, L.-S. Luo et al. Analytic solutions of simple flows and analysis of nonslip boundary conditions for the lattice Boltzmann BGK model. J. Statist. Phys., 87, 115-136(1997).

    [22] Y. Zhao. Lattice Boltzmann based PDE solver on the GPU. Visual Comput, 24, 323-333(2007).

    [23] Dengwei Wang, Chunrong Li, Wenjun Shi. Research on Laser Imaging Simulation and Multi-Dimensional Distinguishable Criterion Construction. Electronics Optics & Control, 24, 76-80, 86(2017).

    [24] R B M A Moran. Multivariate Observations. by G. A. F. Seber. Journal of the Royal Statal Society, 147, 701(1984).

    [25] G Kuntimad, HS Ranganath. Perfect image segmentation using pulse coupled neural networks. IEEE Transactions on Neural Networks, 10, 591-598(1999).

    [26] Q. Zheng, Z. Lu, W. Yang et al. A robust medical image segmentation method using KL distance and local neighborhood information. Comput. Biol. Med., 43, 459-470(2013).

    [27] U. Vovk, F. Pernus, B. Likar. A review of methods for correction of intensity inhomogeneity in MRI. IEEE Trans. Med. Imaging, 26, 405-421(2007).

    Wen-Jun SHI, Deng-Wei WANG, Wan-Suo LIU, Da-Gang JIANG. GPU accelerated level set model solving by lattice boltzmann method with application to image segmentation[J]. Journal of Infrared and Millimeter Waves, 2021, 40(1): 108
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