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Application of Multi-objective Optimization in 3d image reconstruction

TRAITEMENT dU SIGNAL 2024年第3期41卷 1419-1427页

作者： Zhang, Fengli Heze Univ Sch Math & Stat Heze 274015 Peoples R China

3d image reconstruction technology holds significant potential for applications in medical imaging, industrial inspection, and virtual reality, offering more intuitive and precise internal structure visualization. However, due to the complexity of human anatomy and the diversity of medical imaging data, traditional 3d reconstruction methods often struggle to achieve optimal results in terms of reconstruction accuracy, computational efficiency, and structural continuity simultaneously. The application of multi -objective optimization in 3d image reconstruction can comprehensively consider multiple objectives, providing more comprehensive and optimized reconstruction results. However, current research methods still have some deficiencies, primarily neglecting the trade-offs between different objectives and experiencing high computational load and low efficiency when handling complex medical imaging data. This study includes the development of image -target 3d reconstruction algorithms in trajectory space and the establishment and solution of a multiobjective optimization -based 3d image reconstruction model. The research content of this paper aims to improve the quality of reconstruction results and provide more reliable technical support for practical applications, in the hopes of enriching the theoretical foundation of 3d image reconstruction as well as offering new technical approaches for practical applications, having significant theoretical and practical value.

关键词： 3d image reconstruction multi-objective optimization medical imaging computational efficiency structural continuity

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digital Landscape Architecture design Combining 3d image reconstruction Technology

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INTERNATIONAL JOURNAL OF AdVANCEd COMPUTER SCIENCE ANd APPLICATIONS 2024年第8期15卷 145-154页

作者： Chen, Chen Wuxi Vocat Inst Arts & Technol Sch Environm Art & Design Wuxi Peoples R China

To achieve better digital landscape design and visual presentation effects, this study proposes a digital landscape design method based on improved 3d image reconstruction technology. Firstly, a precise point cloud registration algorithm combining normal distribution transformation and Trimmed iterative nearest point algorithm is proposed. A color texture method for 3d models is designed in terms of 3d reconstruction, and a visual scene, 3d reconstruction method based on RGBd data is constructed. Secondly, knowledge networks are introduced to assist in the intelligent generation and planning of plant communities in urban landscape scenes. The knowledge network established through the plant database integrates the principles of landscape design and optimizes the layout of landscape plants in urban parks. The running speed and accuracy of research algorithms were superior to traditional methods, especially in terms of registration performance. Compared to the other two algorithms, the registration time of the research algorithm was reduced by 2%, and the errors were reduced by 71.4% and 87.5%, respectively. The panoramic quality of research methods fluctuated within a small range of 0.8 or above, while traditional methods exhibited instability and lower quality. The landscape design generated by research methods was more aesthetically pleasing and harmonious with the actual landscape in terms of plant selection and layout. The proposed method follows the principles of eco-friendly design and demonstrates significant potential for application in the field of urban landscape design.

关键词： 3d image reconstruction PSO gardens RGBd digital landscape

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3d image reconstruction Using Virtual Reality and Multimodal deep Learning

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INTERNATIONAL JOURNAL OF image ANd GRAPHICS 2024年第0期

作者： Chen, Yong Changsha Normal Univ Coll Innovat & Entrepreneurship Changsha 410100 Peoples R China

Three-dimensional (3d) image reconstruction techniques have found extensive applications in fields such as medicine, education, and computer science, enabling high-precision 3d images to enhance work efficiency. However, traditional methods of 3d image reconstruction solely rely on acoustic information, resulting in limited accuracy. Therefore, a novel method based on virtual reality (VR) and multimodal deep learning is proposed for 3d image reconstruction. First, VR technology is employed to capture 3d image information, followed by de-noising and removal of redundant information. Second, a logarithmic transformation method is employed to enhance the details in the 3d image. Finally, a multimodal deep learning method is utilized to reconstruct the 3d image from the perspectives of imagery, sound, and video. Experimental results demonstrate that the proposed method achieves superior 3d image reconstruction with an accuracy of over 90%. The reconstruction process is efficient and exhibits low signal-to-noise ratio, while the average registration error is less than 0.04%. These findings highlight the practical value and potential applications of the proposed method.

关键词： 3d image reconstruction virtual reality multimodal deep learning

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3d image reconstruction based on Electrical Impedance Tomography Measurements using a Gauss-Newton Algorithm 14

3D Image Reconstruction based on Electrical Impedance Tomogr...

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14th International Workshop on Impedance Spectroscopy (IWIS)

作者： Hafsa, Mariem Bader, Oumaima Hu, Zheng Ben Amara, Najoua Essoukri Kanoun, Olfa Univ Sousse Ecole Natl Ingenieurs Sousse LATIS Lab Adv Technol & Intelligent Syst Sousse 4023 Tunisia Tech Univ Chemnitz Professorship Measurement & Sensor Technol Chemnitz Germany

ISBN: (纸本)9781665494724

Electrical Impedance Tomography (EIT) is a non-invasive imaging technique in which a current is injected into the measurement medium and based on the attained boundary voltages that appear on its surface, its inner conductivity distribution can be determined. The injected current is not contained to one plane and has a three-dimensional flow, hence it is interesting to investigate 3d measurements and reconstructions based on EIT measurements. In this work, a framework for 3d EIT measurements has been developed using a water tank along with the corresponding forward model and image reconstruction algorithm based on EIdORS. different measurements have been conducted using a conductive and a non-conductive objects that were placed in the water tank. Tests have shown that the used 2d hardware can also be used for 3d measurements. In addition, in terms of reconstructed conductivity images, the position of the measured objects is clearly visible and a distinction between the conductive and non-conductive has been attained.

关键词： 3d EIT measurement framework 3d forward modelling 3d image reconstruction Gauss-Newton algorithm

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Efficient Tunable White Emission and Blue Light-Excited Near-Infrared Emission in Lead-Free Metal Halide Crystals with Ultra-High Luminous Efficiency for Multispectral image Fusion and 3d image reconstruction

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AdVANCEd FUNCTIONAL MATERIALS 2025年第23期35卷

作者： Peng, Hui Kan, Xuda Huang, Wenjie Wang, Fei Kong, Linghang Yu, Shuiyue Zhao, Jialong Zou, Bingsuo Guangxi Univ State Key Lab Featured Met Mat & Life Cycle Safety Key Lab New Proc Technol Nonferrous Met & Mat MOE Nanning 530004 Peoples R China Guangxi Univ Sch Resources Environm & Mat Nanning 530004 Peoples R China

0d hybrid Sb(III) halides generally exhibit unique crystal structure and efficient emission. However, achieving efficient white light and blue light-excited near-infrared (NIR) emission remains an enormous challenge. Herein, a series of 0d hybrid Sb(III) halides of (18-crown-6@K)2SbX5 (X = Cl, Br) crystals with different Cl/Br rations are synthesized via supramolecular self-assembly. All compounds show the broadband emission, which stems from the self-trapped excitons in [SbX5]2- pseudo-octahedral structure. Particularly, (18-crown-6@K)2SbCl5 crystal shows tunable emission under various excitation wavelengths, and the efficient white emission with an ultra-high luminous efficiency of 92.3% is obtained under 310 nm excitation. As Br gradually replaces Cl, not only the excitation and emission bands show a red-shift but also facilitate the intersystem crossing process from singlet to triplet excitons. Thus, an independent broadband NIR emission upon 450 nm excitation with an ultra-high luminous efficiency of 58.2% is obtained in (18-crown-6@K)2SbBr5 crystals. Moreover, the high-performance single-component white light-emitting diode (WLEd) based on (18-crown-6@K)2SbCl5 and NIR LEd based on (18-crown-6@K)2SbBr5 are fabricated, and white light and NIR image fusion is realized. Finally, combined with multiangle imaging under WLEd and NIR LEd irradiation, the 3d image reconstruction of a centrifuge tube wrapped in a capsule is successfully demonstrated.

关键词： 3d image reconstruction hybrid antimony halides multispectral image fusion near-infrared emission tunable white emission

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Introducing a novel fast algebraic reconstruction technique and advancing 3d image reconstruction in a specialized bioimaging system

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BIOMEdICAL SIGNAL PROCESSING ANd CONTROL 2024年第PartC期88卷

作者： Polat, Adem Canakkale Onsekiz Mart Univ Fac Engn Dept Elect Elect Engn TR-17100 Canakkale Turkiye Harvard Med Sch Brigham & Womens Hosp Dept Med Div Engn Med 65 Landsdowne St Cambridge MA 02139 USA

In this study, our primary goal was to remarkably reduce computation time and enhance the efficiency of 3d image reconstruction in bioimaging applications by focusing on iterative image reconstruction methods, particularly algebraic reconstruction technique (ART). To achieve this, we introduced a novel fast algebraic reconstruction technique called the mining-ART, consisting of two versions. We validated our proposed method using the mini-Opto tomography device, a specialized bioimaging system, and a synthetic biological phantom. This phantom, developed in our laboratory for bioimaging experiments, was composed of polydimethylsiloxane (PdMS) and had dimensions of 8 mm x 8 mm x 500 mu m. We acquired two-dimensional (2d) projections of the phantom from 11 different angles using the bioimaging device, and then reconstructed these projections in 3d using both ART and the mining-ART. The dimensions of the 3d reconstructed images ranged from 100 x 100 x 50 to 800 x 800 x 50, and voxel resolutions varied correspondingly from 80 x 80 x 10 mu m to 10 x 10 x 10 mu m. Our experimental results demonstrated that the proposed mining-ART outperformed ART in terms of superior 3d image reconstruction speed across various sizes, while maintaining similar image quality. The mining-ART achieved a significant acceleration in computation time, ranging from 5.89 to 92.77 times faster than ART, depending on the dimensions. Furthermore, we extensively explored the feasibility of integrating compressed sensing-based three-dimensional total variation (3dTV) into the mining-ART. In conclusion, our proposed mining-ART demonstrated its potential in dramatically enhancing the computational performance of image reconstruction methods in bioimaging and made a significant contribution to advancing 3d image reconstruction in various research fields.

关键词： Algebraic reconstruction technique ART 3d image reconstruction Bioimaging Mini -Opto tomography Iterative image reconstruction Compressed sensing Total variation Lab-on-a-chip Bioreactor Microchannel

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Efficient 3d image reconstruction of Airborne TomoSAR Based on Back Projection and Improved Adaptive ISTA

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IEEE ACCESS 2021年 9卷 47399-47410页

作者： Han, dong Zhou, Liangjiang Jiao, Zekun Wang, Bingnan Wang, Yachao Wu, Yirong Chinese Acad Sci Aerosp Informat Res Inst Beijing 100190 Peoples R China Natl Key Lab Microwave Imaging Technol Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Elect Elect & Commun Engn Beijing 100049 Peoples R China Aerosp Informat Res Inst Qilu Res Inst Jinan 250101 Peoples R China

Airborne SAR tomography (TomoSAR) 3d image reconstruction can be realized with combination of 2d imaging algorithms and compressed sensing (CS) algorithms. However, most typical CS algorithms cannot achieve a balance between algorithm efficiency and 3d reconstruction accuracy. due to difficulties in flight path control of airborne SAR, it is hard to realize registration of SAR images with frequency-domain imaging algorithms because of time-varying baseline. To address these problems, an efficient 3d image reconstruction method for airborne TomoSAR based on back projection (BP) algorithm and improved adaptive iterative shrinkage-thresholding algorithm (IA-ISTA) is proposed. First, 2d images are achieved with BP algorithm on the ground plane. After registration of SAR images, 3d image reconstruction results in the elevation direction are realized with IA-ISTA. Selection criterion of IA-ISTA parameters are given in this paper. At last, final 3d image reconstruction results are achieved after geometrical transformation based on geometric relationship. Both simulated data and measured data of a P-band airborne TomoSAR system are used. 3d image reconstruction results show that the proposed method outperforms traditional methods regarding efficiency and accuracy, which proves the validity and practicality of the proposed method.

关键词： Three-dimensional displays image reconstruction Imaging Two dimensional displays Tomography Trajectory Radar imaging Airborne SAR tomography (TomoSAR) 3d image reconstruction compressed sensing (CS) iterative shrinkage-thresholding algorithm (ISTA) back projection (BP) algorithm

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3d image reconstruction of Marine Plankton Based on Virtual Reality

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JOURNAL OF COASTAL RESEARCH 2020年第Sup1期103卷 851-854页

作者： Kong, Suran Ningbo Univ Finance & Econ Xiangshan Film & Televis Coll Ningbo 315175 Peoples R China

In the real-time detection of marine plankton, it is difficult to find the three-dimensional morphological features quickly. In traditional image reconstruction methods, the angle error is large and the matching accuracy is too low. Therefore, a method of 3d image reconstruction for marine plankton based on virtual reality was put forward. Two cameras were used to observe the three-dimensional image of marine plankton from different angles. Based on the results of stereo matching, the deviation of image feature points was calculated. Finally, the depth information of object was obtained by triangle similarity principle. Thus, the three-dimensional image of marine plankton based on virtual reality was reconstructed. Simulation results show that the proposed method can quickly and accurately complete the 3d image reconstruction of marine plankton.

关键词： Virtual reality marine plankton 3d image reconstruction triangle similarity principle

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Fast 3d image reconstruction by cuboids and 3d Charlier's moments

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JOURNAL OF REAL-TIME image PROCESSING 2020年第4期17卷 949-965页

作者： Karmouni, Hicham Jahid, Tarik Sayyouri, Mhamed El Alami, Rachid Qjidaa, Hassan Univ Sidi Mohamed Ben Abdellah Fez Fac Sci Dhar El Mahrez Lab Elect Signals & Syst Informat LESSI CED STSTIC Fes Morocco Chouaib Doukkali Univ Natl Sch Appl Sci Lab Sci Engineer Energy BP 1166 El Jadida 24004 Morocco

In this article, we propose a novel approach to accelerate the processing of 3d images by the discrete orthogonal moments of Charlier. The proposed approach is based on two fundamental notions: The first is the acceleration of the computing time of Charlier discrete orthogonal polynomials and moments in the case of the 3d image using digital filters. The second is the description of the 3d image by a set of cuboids of fixed size instead of individual voxels by decomposing the image by cuboids of small sizes to ensure numerical stability. By applying this method, the 3d Charlier moments are calculated from the cuboids instead of the whole image, as the image processing will be locally in each cuboid. This method allows us to speed up the computation time of the moments and to avoid the problem of propagation of digital errors encountered as well when using of digital filters for 3d images of large sizes. The simulation results show the effectiveness of the proposed method in terms of the computation time of the 3d moments of Charlier and in terms of quality of 3d image.

关键词： 3d Charlier moments 3d image reconstruction digital filters 3d image cuboid representation

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Fast 3d image reconstruction by Separable Moments based on Hahn and Krawtchouk Polynomials 4

Fast 3D Image Reconstruction by Separable Moments based on H...

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4th International Conference on Intelligent Computing in data Sciences (ICdS)

作者： Tahiri, Mohamed Amine Karmouni, Hicham Azzayani, Ayoub Sayyouri, Mhamed Qjidaa, Hassan Sidi Mohamed Ben Abdellah Fez Univ Lab Elect Signals & Syst Informat LESSI Dhar El Mahrez Fac Sci Fes Morocco Mohammed 5 Univ Finance Entrepreneurship & Dev Lab Fac Jurid Econ & Social Sci Sale Rabat Morocco Sidi Mohamed Ben Abdellah Fez Univ Engn Syst & Applicat Lab Natl Sch Appl Sci Fes Morocco

ISBN: (纸本)9781728180847

In this paper, we will present a new method of fast and stable computation of 3d image reconstruction using a new collection of 3d separable discrete orthogonal moments called: the 3d Hahn-Hahn-Krawtchouk moments (HHKMs). The latter are generated as the product of Hahn and Krawtchouk discrete orthogonal polynomials. In this method, we will use the 3d image cuboids representation (ICR) to accelerate the computation time of HHKM and improve the quality of 3d images reconstruction for small orders. Simulation results confirm the effectiveness of the proposed method in terms of the calculation time of HHKMs as well as the speed and quality of 3d image reconstruction, with respect to the global method, and the ability of the 3d image reconstruction using the HHKMs is compared by the classical moments of Hahn and Krawtchouk.

关键词： 3d Hahn-Hahn-Krawtchouk moments 3d image reconstruction 3d image cuboid representation

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