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International Symposium on Intelligent Information Technology Application, IITA

作者： Chen Deyun Sui Dapeng Li Letian College of Computer Science and Technology Harbin University of Science and Technology Harbin Heilongjiang China

For the non-linear characteristic and "soft filed" feature of electrical capacitance tomography system, in this paper, based on the analysis of neural network basic algorithm principles, optimizes parameters in the activation function and error function for BP network are optimized. The simulation experiment shows that the learning speed and convergence rate of the BP network has been improved. It brings many excellent capacities for the new reconstruction algorithm such as fast image reconstructing, easy system implementing and strong noise resisting etc, and it supplies a new idea for electrical capacitance tomography image reconstructing.

关键词： reconstruction algorithms Artificial neural networks Electrical capacitance tomography Image reconstruction Permittivity Capacitance measurement Electrodes Transducers Chemical industry Iterative algorithms

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reconstruction algorithms for hv-convex 4- and 8-connected discrete sets

Reconstruction algorithms for hv-convex 4- and 8-connected d...

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International Symposium on Image and Signal Processing and Analysis

作者： E. Balogh A. Kuba Department of Informatics University of Szeged Szeged Hungary

ISBN: (纸本)9539676940

A new algorithm is presented for reconstructing hv-convex polyominoes and hv-convex 8-connected discrete sets. A systematic comparison is done to compare this method with two other methods; one of them has the best known worst case complexity and the other one has the best known average time complexity. From the experimental comparisons, it turned out that the new algorithm summarizes the good properties of the two other algorithms.

关键词： reconstruction algorithms Computational complexity Informatics Tomography Polynomials Lattices

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reconstruction algorithms in Computer Image Automatic Detection Technology

Reconstruction Algorithms in Computer Image Automatic Detect...

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Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC), International Conference on

作者： Wei Li School of Software Chengdu Polytechnic Chengdu China

ISBN: (数字)9798350375442

ISBN: (纸本)9798350375459

With the rapid development of computer vision technology, automatic image detection technology has become more and more important in various fields. This paper focuses on the reconstruction algorithm in computer image automatic detection technology, and puts forward innovative solutions to the limitations of the existing technology. In this paper, SRCNN (super-resolution convolutional neural network) algorithm is selected, and compared with bilinear interpolation and SRGAN (super-resolution generation countermeasure network) algorithm. The experimental results show that the image quality reconstruction of SRCNN algorithm is obviously higher than the other two algorithms, and the maximum PSNR is 60 and the minimum is 41. The calculation efficiency is also higher. The above research results provide new research possibilities for image reconstruction technology in the fields of medical imaging and industrial inspection.

关键词： Interpolation Computer vision Visualization PSNR Superresolution reconstruction algorithms Computer security Image reconstruction Medical diagnostic imaging Optimization

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reconstruction algorithms for electromagnetic imaging

Reconstruction algorithms for electromagnetic imaging

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IEEE Instrumentation and Measurement Technology Conference

作者： M. Pastorino P. Caorsi A. Massa A. Randazzo Department of Biophysical and Electronic Engineering University of Genoa Genoa Italy Department of Electronics University of Pavia Pavia Italy Department of Informatics and Telecommunications University of Trento Trento Italy

Two algorithms for image reconstruction in electromagnetic imaging are proposed. The first approach concerns the application of a hybrid version of the genetic algorithm to tomographic imaging of dielectric configurations. In the second approach, buried inhomogeneities are schematized as multilayer infinite dielectric cylinders with elliptic cross sections. An efficient recursive analytical procedure is used for the forward scattering computation. A cost function is constructed in which the field is expressed in a series solution of Mathieu functions. Starting with the input scattered data, the iterative minimization of the function is performed by a new optimization method called a memetic algorithm.

关键词： reconstruction algorithms Dielectrics Electromagnetic scattering Image reconstruction Genetic algorithms Tomography Nonhomogeneous media Cost function Iterative methods Minimization methods

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On the use of frequency-domain reconstruction algorithms for photoacoustic imaging

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JOURNAL OF BIOMEDICAL OPTICS 2011年第8期16卷 086002-086002-6页

作者： Schulze, Rainer Zangerl, Gerhard Holotta, Markus Meyer, Dirk Handle, Florian Nuster, Robert Paltauf, Guenther Scherzer, Otmar Med Univ Innsbruck Dept Radiol A-6020 Innsbruck Austria Austrian Acad Sci Johann Radon Inst Computat & Appl Math A-4040 Linz Austria Univ Vienna Computat Sci Ctr A-1090 Vienna Austria Leopold Franzens Univ Innsbruck Inst Mol Biol A-6020 Innsbruck Austria Karl Franzens Univ Graz Inst Phys A-8010 Graz Austria

We investigate the use of a frequency-domain reconstruction algorithm based on the nonuniform fast Fourier transform (NUFFT) for photoacoustic imaging (PAI). Standard algorithms based on the fast Fourier transform (FFT) are computationally efficient, but compromise the image quality by artifacts. In our previous work we have developed an algorithm for PAI based on the NUFFT which is computationally efficient and can reconstruct images with the quality known from temporal backprojection algorithms. In this paper we review imaging qualities, such as resolution, signal-to-noise ratio, and the effects of artifacts in real-world situations. reconstruction examples show that artifacts are reduced significantly. In particular, image details with a larger distance from the detectors can be resolved more accurately than with standard FFT algorithms. (C) 2011 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI:10.1117/1.3605696]

关键词： photoacoustic imaging detectors reconstruction algorithms imaging properties

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Impact of different reconstruction algorithms and setting parameters on radiomics features of PSMA PET images: A preliminary study

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EUROPEAN JOURNAL OF RADIOLOGY 2024年 172卷 111349-111349页

作者： Fooladi, Masoomeh Soleymani, Yunus Rahmim, Arman Farzanefar, Saeed Aghahosseini, Farahnaz Seyyedi, Negisa Zadeh, Peyman Sh Univ Tehran Med Sci Dept Med Phys & Biomed Engn Tehran Iran Univ Tehran Med Sci Sch Adv Technol Med Dept Neurosci & Addict Studies Tehran Iran BC Canc Res Inst Dept Integrat Oncol Vancouver BC Canada Univ British Columbia Dept Radiol Vancouver BC Canada Univ British Columbia Dept Phys Vancouver BC Canada Univ Tehran Med Sci Imam Khomeini Hosp Complex Dept Nucl Med Tehran Iran Iran Univ Med Sci Hlth Management Res Inst Nursing & Midwifery Care Res Ctr Tehran Iran Univ Tehran Med Sci Fac Med Dept Nucl Med Tehran Iran

Purpose: Radiomics analysis of oncologic positron emission tomography (PET) images is an area of significant activity and potential. The reproducibility of radiomics features is an important consideration for routine clinical use. This preliminary study investigates the robustness of radiomics features in PSMA-PET images across penalized-likelihood (***) and standard ordered subset expectation maximization (OSEM) reconstruction algorithms and their setting parameters in phantom and prostate cancer (PCa) patients. Method: A NEMA image quality (IQ) phantom and 8 PCa patients were selected for phantom and patient analyses, respectively. PET images were reconstructed using *** (reconstruction beta-value: 100-700, at intervals of 100 for both NEMA IQ phantom and patients) and OSEM (duration: 15sec, 30sec, 1 min, 2 min, 3 min, 4 min and 5 min for NEMA phantom and duration: 30 s, 1 min and 2 min for patients) reconstruction methods. Subsequently, 129 radiomic features were extracted from the reconstructed images. The coefficient of variation (COV) of each feature across reconstruction methods and their parameters was calculated to determine feature robustness. Results: The extracted radiomics features showed a different range of variability, depending on the reconstruction algorithms and setting parameters. Specifically, 23.0 % and 53.5 % of features were found as robust against beta-value variations in *** and different durations in OSEM reconstruction algorithms, respectively. Taking into account the two algorithms and their parameters, eleven features (8.5 %) showed COV <= 5 % and eighteen (14 %) showed 5 % 20 %. The mean COVs of the extracted radiomics features were significantly different between the two reconstruction methods (p < 0.05) except for the phantom mo

关键词： Prostate Cancer NEMA Image Quality Phantom reconstruction algorithms Radiomics Features PSMA PET Imaging

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A Review of reconstruction algorithms in Compressive Sensing

A Review of Reconstruction Algorithms in Compressive Sensing

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Advances in Computing, Communication & Materials (ICACCM), 2020 International Conference on

作者： Rachit Manchanda Kanika Sharma National Institute of Technical Teacher's Training and Research Chandigarh India

ISBN: (数字)9781728197852

ISBN: (纸本)9781728197869

Compressive Sensing (CS) is a promising technology for the acquisition of signals. The number of measurements is reduced by using CS which is needed to obtain the signals in some basis that are compressible or sparse. The compressible or sparse nature of the signals can be obtained by transforming the signals in some domain. Depending on the signals sparsity signals are sampled below the Nyquist sampling criteria by using CS. An optimization problem needs to be solved for the recovery of the original signal. Very few studies have been reported about the reconstruction of the signals. Therefore, in this paper, the reconstruction algorithms are elaborated systematically for sparse signal recovery in CS. The discussion of various reconstruction algorithms in made in this paper will help the readers in order to understand these algorithms efficiently.

关键词： Matching pursuit algorithms reconstruction algorithms Compressed sensing Image reconstruction Iterative algorithms Optimization

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Synthetic aperture radar image reconstruction algorithms designed for subsurface imaging

Synthetic aperture radar image reconstruction algorithms des...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： P.T. Gough B.R. Hunt Department of Electrical and Electronic Engineering University of Canterbury Christchurch New Zealand Department of Electrical and Computer Engineering University of Arizona Tucson Tucson AZ USA

The standard image reconstruction algorithm for most SAR systems is either the wavenumber algorithm mainly used for exact wide bandwidth imaging or a version of the chirp scaling algorithm if computational efficiency is important. When it is desired to image a subsurface layer, these reconstruction algorithms can be modified to emphasize a subsurface layer at the expense of the surface layer. The key to the modified algorithm is a reduction of the wavelength used in the reconstruction process by a predetermined amount where the amount of the reduction depends on the depth and the dielectric constant of the soil. Some simulated results shows the effectiveness of the modified algorithm.

关键词： Synthetic aperture radar Image reconstruction Algorithm design and analysis Matched filters Filtering reconstruction algorithms Surface reconstruction Dielectric constant Soil Radar polarimetry

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An Evaluation Method for Multiview Surface reconstruction algorithms

An Evaluation Method for Multiview Surface Reconstruction Al...

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International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)

作者： Ran Song Yonghuai Liu Yitian Zhao Ralph Martin Paul Rosin Department of Computer Science Aberystwyth University UK School of Computer Science and Informatics Cardiff University UK

We propose a new method, 3DGiC, for evaluating the performances of various multiview surface reconstruction methods. It does not need a complete ground truth model, providing a much wider range of applications. More importantly, most existing methods only measure the quality of reconstruction in a global manner but local surface details are not involved. In contrast, 3DGiC depends on both global consistency and local accuracy of reconstruction in order to deliver a more comprehensive evaluation. The key idea is to compute a cumulative distribution of the joint probability of two local surface descriptors. We also designed experiments based on both synthetic and real data to demonstrate the advantages as well as the effectiveness of 3DGiC.

关键词： Surface reconstruction Image reconstruction Accuracy Computational modeling Noise Joints reconstruction algorithms

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Enforcing integrability for surface reconstruction algorithms using belief propagation in graphical models

Enforcing integrability for surface reconstruction algorithm...

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： N. Petrovic I. Cohen B.J. Frey R. Koetter T.S. Huang Beckman Institute University of Illinois Urbana IL USA

ISBN: (纸本)0769512720

Accurate calculation of the three dimensional shape of an object is one of the classic research areas of computer vision. Many of the existing methods are based on surface normal estimation, and subsequent integration of surface gradients. In general, these methods do not produce valid surfaces due to violation of surface integrability. We introduce a new method for shape reconstruction by integration of valid surface gradient maps. The essence of the new approach is in the strict enforcement of the surface integrability via belief propagation across graphical models. The graphical model is selected in such a way as to extract information from underlying, possibly noisy, surface gradient estimators, utilize the surface integrability constraint, and produce the maximum a-posteriori estimate of a valid surface. We demonstrate the algorithm for two classic shape reconstruction techniques; shape-from-shading and photometric stereo. On a set of real and synthetic examples, the new approach is shown to be fast and accurate, in the sense that shape can be rendered even in the presence of high levels of noise and sharp occlusion boundaries.

关键词： Surface reconstruction reconstruction algorithms Belief propagation Graphical models Shape Noise shaping Computer vision Data mining Maximum a posteriori estimation Photometry

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