强激光与粒子束, 2013, 25 (3): 751, 网络出版: 2013-03-05   

基于神经网络的闪光照相网栅图像修补

Inpainting method for flash radiographic anti-scatter grid image based on neural networks
作者单位
中国工程物理研究院 流体物理研究所, 四川 绵阳 621900
引用该论文

景越峰, 刘军, 管永红. 基于神经网络的闪光照相网栅图像修补[J]. 强激光与粒子束, 2013, 25(3): 751.

Jing Yuefeng, Liu Jun, Guan Yonghong. Inpainting method for flash radiographic anti-scatter grid image based on neural networks[J]. High Power Laser and Particle Beams, 2013, 25(3): 751.

参考文献

[1] 刘军, 刘进, 施将君. FTO客体3 m闪光照相的Monte-Carlo研究[J]. 强激光与粒子束, 2004, 16(9):1210-1214.(Liu Jun, Liu Jin, Shi Jiangjun. Monte-Carlo research of flash radiography at 3 m to the target.High Power Laser and Particle Beams, 2004, 16(9):1210-1214)

[2] 施将君, 李必勇, 刘军, 等. 闪光照相中散射照射量的解析分析[J]. 强激光与粒子束, 2006, 18(7):1211-1214.(Shi Jiangjun, Li Biyong, Liu Jun, et al. Analystic determination of scatter exposure for radiography.High Power Laser and Particle Beams, 2006, 18(7):1211-1214)

[3] 李必勇, 施将君, 刘进, 等. 闪光照相系统的散射分布与降散射的数值模拟[J].强激光与粒子束, 2005, 17(5):788-792.(Li Biyong, Shi Jiangjun, Liu Jin, et al. Numerical simulation of scattered exposure and reduced scatter in flash radiography system. High Power Laser and Particle Beams, 2005, 17(5):788-792)

[4] 肖智强, 刘军, 胡八一, 等. 高能闪光照相中陡坡准直体成像性能实验研究[J]. 核电子学与探测器技术, 2007, 27(3):512-515.(Xiao Zhiqiang, Liu Jun, Hu Bayi, et al. Experimental research of the performance of graded collimators in high-energy flash X-ray radiography. Nuclear Electronics and Detection Technology, 2007, 27(3):512-515)

[5] 刘军, 刘进, 管永红, 等.闪光照相中MeV级网栅的设计[J].强激光与粒子束, 2011, 23(8):2047-2051.(Liu Jun, Liu Jin, Guan Yonghong, et al. The design of MeV anti-scatter grid in flash radiography. High Power Laser and Particle Beams, 2011, 23(8):2047-2051)

[6] Bertalmio M, Bertozzi A L, Sapiro G, et al. Navier-Stokes, fluid dynamics, and image and video inpainting[C]//Proc of the International Conference on Computer Vision and Pattern Recognition. 2001, 1:355-362.

[7] Perona P, Malik J. Scale-space and edge detection using anisotropic diffusion[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1990, 12(7):629-639.

[8] 景越峰, 张小琳, 管永红.基于偏微分方程的闪光照相图像修补算法[J].强激光与粒子束, 2010, 22(2):383-387.(Jing Yuefeng, Zhang Xiao lin, Guan Yonghong. Radiography image inpainting algorithm based on partial differential equations.High Power Laser and Particle Beams, 2010, 22(2):383-387)

[9] Chan T, Shen J. Nontexture inpainting by curvature-driven diffusions[J].Journal of Visual Communication and Image Representation, 2001, 12(3):436-449.

[10] 张红英, 彭启琮, 吴亚东. 数字破损图像的非线性各向异性扩散修补算法[J]. 计算机辅助设计与图形学学报, 2006, 18(10):1541-1546.(Zhang Hongying, Peng Qicong, Wu Yadong. Digital image inpainting algorithm for damaged images based on nonlinear anisotropic diffusion. Journal of Computer-Aided Design and Computer Graphics, 2006, 18(10): 1541-1546)

[11] Bianchini M, Frasconi P. Learning without local minima in radial basis function networks[J].IEEE Trans on Neural Networks, 1995, 6(3):749-756.

[12] 牛丽红, 倪国强, 苏秉华. 基于RBF 神经网络的图像融合复原方法研究[J]. 光子学报, 2006, 35(2):316-320.(Niu Lihong, Ni Guoqiang, Su Binghua. RBF neural network based image fusion restoration approach.Acta Photonica Sinica, 2006, 35(2):316-320)

景越峰, 刘军, 管永红. 基于神经网络的闪光照相网栅图像修补[J]. 强激光与粒子束, 2013, 25(3): 751. Jing Yuefeng, Liu Jun, Guan Yonghong. Inpainting method for flash radiographic anti-scatter grid image based on neural networks[J]. High Power Laser and Particle Beams, 2013, 25(3): 751.

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