Computer simulations for the denoising effect of morphological reconstructions for CT images on hexagonal grids and regular hexagonal regions
Computer simulations for the denoising effect of morphological reconstructions for CT images on hexagonal grids and regular hexagonal regions
复制标题
六边形网格和正六边形区域CT图像形态重建去噪效果的计算机模拟
DOI:
10.1117/12.2611798
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发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Zheng, Xiqiang
中科院分区:
文献类型:
--
作者:
Zheng, Xiqiang
In this paper, morphological operations on hexagonal lattices and regular hexagonal regions are applied to 2D parallel beam computerized tomography (CT) image denoising. To show some denoising effects of the morphological operations, for an input image, we add certain amount of noise to get the noised image; and perform Radon transform and inverse Radon transform on the noised image to obtain a CT image. To compare hexagonal lattices with square lattices fairly, the CT image is resampled to an image defined on a certain randomized grid, which is in turn resampled to an image defined on a hexagonal lattice and an image defined on the corresponding square lattice (with the same sampling rate), respectively. For the morphological operations, we use a structuring element defined on a hexagonal lattice and a structuring element defined on a square lattice such that those two structuring elements have the same number of ones. Each of those two images performs an erosion with the corresponding structuring element. Then use those two images as masks and use the two corresponding eroded images as makers to perform morphological image reconstructions to obtain the two reconstructed images. Finally, both usual and Phantom images are used as test images. For many different tested noise levels, the output data show that the image reconstructed on the hexagonal lattice is usually more similar to the input image than the one reconstructed on the square lattice.
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影响因子:
2
作者:
Xiqiang Zheng;Feng Gu
通讯作者:
Feng Gu
DOI:
--
发表时间:
2009
期刊:
2009 IEEE Nuclear Science Symposium Conference Record (NSS/MIC)
影响因子:
--
作者:
K. Mueller;Fang Xu
通讯作者:
Fang Xu
DOI:
10.1117/12.2579531
发表时间:
2020
期刊:
Video Processing and Artificial Intelligence
影响因子:
--
作者:
Zheng, Xiqiang
通讯作者:
Zheng, Xiqiang
DOI:
--
发表时间:
2013
期刊:
J. Electronic Imaging
影响因子:
--
作者:
Xiangguo Li
通讯作者:
Xiangguo Li
DOI:
--
发表时间:
2013
期刊:
影响因子:
--
作者:
Akshay P. Vartak;Dr V R Mankar
通讯作者:
Dr V R Mankar