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Reconstruction of hv-Convex Binary Images with Diagonal and Anti-Diagonal Projections using Genetic Algorithm

Jobanpreet Kaur, Shiv Kumar Verma, Anupriya Sharma
2016 Indian Journal of Science and Technology  
Other goal isto reduce the time of reconstruction of image. Method: In this paper, we put forward a new approach for reconstruction.  ...  Findings: The images reconstructed after Chang's algorithm and Genetic Algorithm are compared with original images and they are contrasted with each other also.  ...  Genetic Algorithm in Image Reconstruction GA is an evolutionary algorithm which is based on principles of evolution theory and same concept can be used in discrete tomography for image reconstruction.  ... 
doi:10.17485/ijst/2016/v9i45/104103 fatcat:libtmcy5indczgirkpnut4mjcy

Techniques in Iterative Proton CT Image Reconstruction

Scott Penfold, Yair Censor
2015 Sensing and Imaging  
Iterative algorithms provide a flexible tool with which to incorporate these models into image reconstruction.  ...  This is a review paper on some of the physics, modeling, and iterative algorithms in proton computed tomography (pCT) image reconstruction.  ...  Acknowledgements The authors would like to thank Reinhard Schulte for his devoted guidance, insightful collaboration and for the encouragement to undertake the writing of this review paper.  ... 
doi:10.1007/s11220-015-0122-3 fatcat:2unqez4lzvhy7dowhzt5rng4rq

TOMOGRAPHY SAR IMAGING STRATEGY BASED ON BLOCK-SPARSE MODEL

Xiao-Zhen Ren, Fuyan Sun
2016 Progress In Electromagnetics Research M  
In order to reduce the number of baselines, a novel strategy for tomography SAR imaging by introducing the block-sparsity theory into the imaging processing is proposed in this paper.  ...  The compressed sensing (CS) based imaging methods for tomography SAR perform well in the case of large number of baselines.  ...  Then, the optimized block-sparse model for tomography SAR can be represented as y= Φr + n (13) where r is a block-sparse signal, with K nonzero blocks.  ... 
doi:10.2528/pierm16010904 fatcat:h4ljpptzlrcdblbly4fku5k4cy

Optimisation of Technological Processes by Solving Inverse Problem through Block-Wise-Transform-Reduction Method Using Open Architecture Sensor Platform

Konrad Kania, Tomasz Rymarczyk, Mariusz Mazurek, Sylwia Skrzypek-Ahmed, Mirosław Guzik, Piotr Oleszczuk
2021 Energies  
The algorithm is based on discrete transformation. This method uses compression on each block of the image separately.  ...  This paper presents an open architecture for a sensor platform for the processing, collection, and image reconstruction from measurement data.  ...  For this purpose, a measuring device was designed together with an original algorithm of image reconstruction.  ... 
doi:10.3390/en14248295 fatcat:fav6zeeuujaixmoqmwwk6utmq4

Tiled-Block Image Reconstruction by Wavelet- Based, Parallel-Filtered Back-Projection

Jorge Guevara Escobedo, Krikor B. Ozanyan
2016 IEEE Sensors Journal  
We demonstrate an algorithm, relevant to tomography sensor systems, to obtain images from the parallel reconstruction of essentially localized elements at different scales.  ...  With tiled-block image reconstruction by wavelet-based, parallel filtered back-projection we measure more than 36 times gain in speed, compared to standard filtered back-projection. are with the School  ...  For the effect of dividing the full-size image reconstruction into a set of constituent block images, be reflected in speed gain, every component must deliver accurate images when provided only with data  ... 
doi:10.1109/jsen.2016.2546182 fatcat:xhr6xh6mpffrhabhbjtmmvor5e

The Convergence of Two Algorithms for Compressed Sensing Based Tomography

Xiezhang Li, Jiehua Zhu
2012 Advances in Computed Tomography  
The constrained total variation minimization has been developed successfully for image reconstruction in computed tomography.  ...  In this paper, the block component averaging and diagonally-relaxed orthogonal projection methods are proposed to incorporate with the total variation minimization in the compressed sensing framework.  ...  modified as a block CAV method for compressed sensing based tomography algorithm (BCAVCS) for image reconstruction described as follows: Algorithm 2.  ... 
doi:10.4236/act.2012.13007 fatcat:5kyk6jzp4jgn3liuvrpkn3sbbq

On the Reconstruction of Static and Dynamic Discrete Structures [article]

Andreas Alpers, Peter Gritzmann
2018 arXiv   pre-print
Along with a concise introduction to the field of discrete tomography, we give pointers to related aspects of computerized tomography in order to contrast the worlds of continuous and discrete inverse  ...  We study inverse problems of reconstructing static and dynamic discrete structures from tomographic data (with a special focus on the 'classical' task of reconstructing finite point sets in R^d).  ...  The authors are grateful to Fabian Klemm for his help with producing Fig. 11 and both, Fabian Klemm and Viviana Ghiglione, for helpful discussions.  ... 
arXiv:1809.06141v1 fatcat:mkdn6bpmords7dth4fxovidjnq

Grey Level Estimation for Discrete Tomography [chapter]

K. J. Batenburg, W. van Aarle, J. Sijbers
2009 Lecture Notes in Computer Science  
Discrete tomography is a powerful approach for reconstructing images that contain only a few grey levels from their projections.  ...  Most theory and reconstruction algorithms for discrete tomography assume that the values of these grey levels are known in advance.  ...  A variety of reconstruction algorithms have been proposed for discrete tomography problems. In [3] , an algorithm is presented for reconstructing binary images from a small number of projections.  ... 
doi:10.1007/978-3-642-04397-0_44 fatcat:cjrdqfv6sjgspeyqehvngqrzyq

Investigation of the direct and indirect conductivity distribution image reconstruction algorithms in electrical tomography

Mykhaylo Dorozhovets, Anton Prygrodsky
2011 Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems  
In this paper the two indirect conductivity distribution reconstruction algorithms in electrical tomography are presented.  ...  Efficiency of the presented algorithms is compared with the efficiency of the direct conductivity distribution reconstruction algorithm.  ...  Fig. 4 shows a numeric modeling block-scheme of the one iteration of the reconstruction process for these algorithms [13] .  ... 
doi:10.1109/idaacs.2011.6072796 dblp:conf/idaacs/DorozhovetsP11 fatcat:ensuzqd7zbgztdvdittgryy4wq

A semi-automatic algorithm for grey level estimation in tomography

K.J. Batenburg, W. van Aarle, J. Sijbers
2011 Pattern Recognition Letters  
Discrete tomography is a powerful approach for reconstructing images that contain only a few grey levels from their projections.  ...  Most theory and reconstruction algorithms for discrete tomography assume that the values of these grey levels are known in advance.  ...  A variety of reconstruction algorithms have been proposed for discrete tomography problems. In Schüle et al.  ... 
doi:10.1016/j.patrec.2010.09.001 fatcat:isht7ftjjnbuxm5eapv5dpwh2m

Tomographic reconstruction using nonseparable wavelets

S. Bonnet, F. Peyrin, F. Turjman, R. Prost
2000 IEEE Transactions on Image Processing  
In this paper, the use of nonseparable wavelets for tomographic reconstruction is investigated. Local tomography is also presented.  ...  The algorithm computes both the quincunx approximation and detail coefficients of a function from its projections.  ...  Delaney [3] and Rashid-Farrokhi [4] proposed a multiresolution tomographic reconstruction algorithm to recover the two-dimensional (2-D) separable discrete wavelet transform (2-D DWT) of the image  ... 
doi:10.1109/83.855441 pmid:18262983 fatcat:vbh76qe5yzcv7mnamv3tqvhzre

A discrete-continuous Bayesian model for Emission Tomography

Mame Diarra Fall, Eric Barat, Claude Comtat, Thomas Dautremer, Thierry Montagu, Ali Mohammad-Djafari
2011 2011 18th IEEE International Conference on Image Processing  
In this contribution, we propose a discrete-continuous reconstruction method for Positron Emission Tomography (PET).  ...  The goal is to reconstruct a continuous radiotracer activity distribution from a finite set of measurements (namely, the discrete projections of detected random emissions).  ...  The continuous radioactivity distribution is directly reconstructed from the discrete data. Thus, this can be viewed as a third category in image reconstruction algorithms for Emission Tomography.  ... 
doi:10.1109/icip.2011.6115693 dblp:conf/icip/FallBCDMM11 fatcat:awffwgbcpbb7be2oufwayah334

Image Reconstruction in Surgical Field Using Deep Learning

Divya S
2021 Revista GEINTEC  
The field of medical image reconstruction helps to improve image quality by manipulating image features and artefact with Filtered-Back Propagation for X-ray Computer Tomography (CT), Magnetic Resonance  ...  In this paper image discretization models and image interpolation techniques are used to segment the MR images and train them for Image Reconstruction.  ...  , (B) Reconstructed Image from Radiomics A B Fig. 4 - 4 Fig. 4-(A) Original MRI Brain Image; (B) Quality 60 -86% Zeros A B Fig. 5 -Fig. 6 - 56 Fig. 5-Processing Sequence 1 of Proposed Multi-path Reconstruction  ... 
doi:10.47059/revistageintec.v11i2.1775 fatcat:u2mjrnn5xrb3nos3tc6c3tyeny

A Prospective Study on Algorithms Adapted to the Spatial Frequency in Tomography

Vincent Israel-Jost, Philippe Choquet, André Constantinesco
2006 International Journal of Biomedical Imaging  
The results obtained with the FA-SART algorithm demonstrate a very fast convergence on a highly detailed phantom when compared to the original SART algorithm.  ...  The use of iterative algorithms in tomographic reconstruction always leads to a frequency adapted rate of convergence in that low frequencies are accurately reconstructed after a few iterations, while  ...  All of our thanks and acknowledgement to Ariel Bardi from Bard College, NY, USA, for assistance in English.  ... 
doi:10.1155/ijbi/2006/34043 pmid:23165024 pmcid:PMC2324032 fatcat:6bxstcf7tbat7eadaowsndf5am

Radiative transport-based frequency-domain fluorescence tomography

Amit Joshi, John C Rasmussen, Eva M Sevick-Muraca, Todd A Wareing, John McGhee
2008 Physics in Medicine and Biology  
The coupled radiative transport model for describing NIR fluorescence propagation in tissue is solved by a novel software based on the established Attila ™ particle transport simulation platform.  ...  An adjoint transport solution based fluorescence tomography algorithm is implemented on dual grids to efficiently assemble the measurement sensitivity Jacobian matrix.  ...  Since light multiply scatters in tissue, standard backprojection based image reconstruction algorithms may not be applicable for accurate image reconstruction.  ... 
doi:10.1088/0031-9155/53/8/005 pmid:18364555 pmcid:PMC3166518 fatcat:cexv2d4vo5he7crm3eclwjv354
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