An Image Algebraic Reconstruction Technique Based on POCS Restriction
HU Xiao-Zhou1,2,3, KONG Bin1,3, CHENG Er-Kang1,2,3, HU Rong-Xiang1,2,3
1.Biomimetic Vision Laboratory, Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031 2.Department of Automation, University of Science and Technology of China, Hefei 230027 3.The Key Laboratory of Biomimetic Sensing and Advanced Robot Technology, Anhui Province, Hefei 230031
Abstract：Algebraic reconstruction based on incomplete projection data is a hot issue in CT application. An improved algebraic reconstruction technique (ART) is proposed based on the analysis of relationships between images with mutual perpendicular projection angles. The projection coefficient matrix is calculated by recording the indices of ray-cross grids and the lengths of grid-ray intersections. In the process of reverse projection, POCS restriction is used to reconstruct the image from the incomplete data. The experimental results show that compared with the ART algorithm, the proposed algorithm greatly improves the speed and the quality of image reconstruction.
胡小舟，孔斌，成二康，胡戎翔. 一种基于POCS约束的图像代数重建算法*[J]. 模式识别与人工智能, 2009, 22(5): 763-768.
HU Xiao-Zhou, KONG Bin, CHENG Er-Kang, HU Rong-Xiang. An Image Algebraic Reconstruction Technique Based on POCS Restriction. , 2009, 22(5): 763-768.
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2009, Vol. 22 
