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检索条件"任意字段=2nd Conference on Image Reconstruction from Incomplete Data"

共 4214 条记录，以下是111-120 订阅

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A systematic algorithm for 3-D reconstruction of MRI based brain tumors using morphological operators and bicubic interpolation

A systematic algorithm for 3-D reconstruction of MRI based b...

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2010 2nd International conference on Computer Technology and Development, ICCTD 2010

作者： Amruta, Anantatamukala Gole, Abhijeet Karunakar, Yogesh Ramnarain Ruia College University of Mumbai India

ISBN: (纸本)9781424488438

This paper presents a method for 3D image reconstruction, which is one of the most attractive avenues in digital image processing techniques, especially due to its application in biomedical imaging. The diversity and complexity of tumor cells makes it very challenging to visualize tumor present in magnetic resonance image (MRI) data. This paper involves implementing various steps of extracting the tumor from the 2D slices of MRI brain images by OTSUs threshold technique and various morphological operations and designing software for reconstructing 3D image from a set of 2D tumor images. Extensive use of custom made user interface that provides for ease of user interaction and visualization of reconstructed data. The volume of the tumor is also estimated based on the computation of these images. Doctors and Radiologists can now prepare and image thousands of samples and save on time per day using this automation. © 2010 IEEE.

关键词： image reconstruction

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image Fusion-based Multi-frequency Microwave Tomography 2

Image Fusion-based Multi-frequency Microwave Tomography

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2nd International conference on Applied Information Technology and Innovation (ICAITI)

作者： Siburian, Sebastian Wijaya, Sastra Kusuma Prajitno, Prawito Univ Indonesia Dept Phys Depok Indonesia

ISBN: (纸本)9781728130163

In this research study, an investigation of the benefit of wavelet-based image fusion algorithm for enhancing the quality of the reconstructed images in a multi-frequency microwave tomography was conducted. The microwave tomography system which consists of a PocketVNA, a pair of Vivaldi antenna and a set of Arduino-based electromechanical system was used to acquire the scattering wave around an object being observed. The electromechanical was used to move the angular positions of the Vivaldi antenna pair in the scanning process in order to measure the reflection coefficient (S11), magnitude and phase of the microwaves interacted with observed object material. The Vivaldi antenna works in the range of 1.5 - 9.0 GHz, while the PocketVNA operates in range of 500 kHz - 4 GHz. Experiments were done to test the performance of the system with types of materials of different shapes and sizes. The reflection coefficient data (S11) resolved and reconstructed into an image via MATLAB based on Born approximation reconstruction algorithm. image reconstruction per single frequency is done sequentially from low frequency to high frequency, with a total of 6 different frequency values. A multi-frequency approach will be done by combining the element of stability from the effect of using low frequencies and high-resolution element from the effect of relatively higher frequency usage. The use of multi-frequency reduces nonlinearity problem and increases the stability to get an optimal image reconstruction. The used image fusion algorithm was also tested using the datasets from Fresnel Institute in order to verify its performance. The image yielded from the image fusion algorithm has a significant increasing image quality compared to the individual images from the reconstruction process resulted on single frequency usage without the image fusion process.

关键词： microwave tomography multi-frequency image fusion

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The 2 and 3 materials scene reconstructed from some line Mojette projections

The 2 and 3 materials scene reconstructed from some line Moj...

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International conference on image Processing Theory, Tools and Applications

作者： Guédon, Jeanpierre Liu, Chuanlin IRCCyN-IVC UMR CNRS 6597 Ecole Poly Technique University of Nantes La Chantrerie rue Christian Pauc 44306 Nantes France

ISBN: (纸本)9781424472482

Discrete tomography generally focus on binary image reconstruction from two projections. The Mojette transform allows for a more general framework with any kind of values and any number of projections. Here we use the Mojette transform to adress the problem of the 3 materials reconstruction. A new Mojette algorithm is derived and presented in the case of sparse data (reduce number of projections). This algorithm is also generalized for different other uses as for a binary scene reconstruction. ©2010 IEEE.

关键词： image reconstruction

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2nd International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2017 Held in Conjunction with the 20th International conference on Medical image Computing and Computer-Assisted Intervention, MICCAI 2017

2nd International Workshop on Simulation and Synthesis in Me...

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2nd International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2017 Held in Conjunction with the 20th International conference on Medical image Computing and Computer-Assisted Intervention, MICCAI 2017

ISBN: (纸本)9783319681269

The proceedings contain 11 papers. The special focus in this conference is on Simulation and Synthesis in Medical Imaging. The topics include: Adversarial image synthesis for unpaired multi-modal cardiac data;deep MR to CT synthesis using unpaired data;synthesizing CT from ultrashort echo-time MR images via convolutional neural networks;a supervoxel based random forest synthesis framework for bidirectional MR/CT synthesis;region-enhanced joint dictionary learning for cross-modality synthesis in diffusion tensor imaging;virtual PET images from CT data using deep convolutional networks;semi-supervised assessment of incomplete LV coverage in cardiac MRI using generative adversarial nets;high order slice interpolation for medical images;a monte carlo framework for low dose CT reconstruction testing;multimodal simulations in live cell imaging;medical image processing and numerical simulation for digital hepatic parenchymal blood flow.

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Research on Missile-Borne image Transmission Technology Based on Compressive Sensing 2

Research on Missile-Borne Image Transmission Technology Base...

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2nd International conference on image, Vision and Computing (ICIVC)

作者： Ren, Mengjie Chen, Shenpei Chen, Dong Army Officer Acad PLA Lab Guidance Control & Informat Percept Technol H Hefei 230031 Anhui Peoples R China

ISBN: (纸本)9781509062386

It is necessary to transmit the image from the ammunition platform to the terrestrial system in real time when the TV guided weapon strikes the ground target. For the large amount of HDTV images, due to the limited bandwidth of signal transmission, real-time transmission can't be realized. As an emerging theory, compressive sensing provides the possibility of real-time transmission of HDTV video signals. In this paper, we study the reconstruction signal of image compressive sensing, the transmission of block compressive sensing is realized on the missile-borne image. The algorithm is verified by bombarding visible light and SAR images, which indicates that the compressive sensing technique can be used to break through the classical sampling theory and transmit a smaller amount of data in the limited bandwidth while can better restore the image.

关键词： compressive sensing missile-borne image transmisson technology

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Studies and Evaluation of EIT image reconstruction in EIDORS with Simulated Boundary data 2

Studies and Evaluation of EIT Image Reconstruction in EIDORS...

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2nd International conference on Soft Computing for Problem Solving (SocProS)

作者： Bera, Tushar Kanti Nagaraju, J. Indian Inst Sci Dept Instrumentat & Appl Phys Bangalore 560012 Karnataka India

ISBN: (纸本)9788132216025;9788132216018

Simulated boundary potential data for Electrical Impedance Tomography (EIT) are generated by a MATLAB based EIT data generator and the resistivity reconstruction is evaluated with Electrical Impedance Tomography and Diffuse Optical Tomography reconstruction Software (EIDORS). Circular domains containing subdomains as inhomogeneity are defined in MATLAB-based EIT data generator and the boundary data are calculated by a constant current simulation with opposite current injection (OCI) method. The resistivity images reconstructed for different boundary data sets and images are analyzed with image parameters to evaluate the reconstruction.

关键词： EIT Simulated boundary data EIDORS image reconstruction Resistivity images image parameters

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Infrared small target detection based on the combination of single image super-resolution reconstruction and YOLOX 23

Infrared small target detection based on the combination of ...

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2nd Asia conference on Algorithms, Computing and Machine Learning (CACML)

作者： Wang Zhiyong Xiang Xuefu Zeng Kan Zhang Zhenyu Li Yanan Song Dengpan Automat Res Inst Co Ltd China South Ind Grp Corp Mianyang Sichuan Peoples R China

ISBN: (纸本)9781450399449

For the infrared search and tracking system, it is necessary to increase the ability to detect small infrared targets against complex backgrounds. YOLOX is a high-performance detector, but its detection performance is constrained when it uses data from low-resolution infrared images with small targets. However, occasionally design constraints and budgetary restraints will prevent the optical system and sensor resolution from being increased enough to improve image quality. Real-ESRGAN is used to solve this issue by reconstructing a high-resolution infrared image from its low-resolution counterpart, which will be used as YOLOX-S's input. Also, the YOLOX-S training strategy is modified further to make it appropriate for the detection of infrared small targets, including the Mosaic and MixUp data augmentation and the size of ground-truth. The average precision achieved by the suggested method in this work increases from 63.70% to 77.19%, which shows a considerable improvement in infrared small target detection when compared with the original model by inputting original images.

关键词： Infrared technology Infrared small target detection Deep learning Super-resolution reconstruction YOLOX

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Research on image Processing Algorithms Based on Variational and Deep Learning 2

Research on Image Processing Algorithms Based on Variational...

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2nd International conference on Mechatronics, IoT and Industrial Informatics, ICMIII 2024

作者： Zhang, Xiaoxu Heilongjiang Polytechnic Harbin China

ISBN: (纸本)9798350386639

China has seen an unheard-of surge in interest in deep-learning methods for image restoration in recent years. Most of these strategies draw inspiration from the established variational technique and related optimization methods for the picture reconstruction inverse issue. While using learnable components to create organized deep neural networks and using copious amounts of observation data to train the networks for the particular reconstruction objectives, these techniques resemble the iterative strategies of ordinary optimization algorithms. In many cases, they have proven to have far better empirical performance than the conventional approaches, and they also demand a lot lower computing cost. For various common networks in this subject, this research offers the specifics of the derivations, the network topologies, and the training protocol. The research therefore focuses on image processing algorithms based on variational and deep learning models. © 2024 IEEE.

关键词： Deep Learning Networks image Compression Algorithms image reconstruction Optimized Systems Variational Models

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A GEOGRAPHIC data GATHERING SYSTEM FOR image GEOLOCALIZATION REFINING 2

A GEOGRAPHIC DATA GATHERING SYSTEM FOR IMAGE GEOLOCALIZATION...

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2nd International conference on Smart data and Smart Cities

作者： Semaan, B. Servieres, M. Moreau, G. Chebaro, B. UMR 1563 AAU CRENAU Nantes France Lebanese Univ Beirut Lebanon

image geolocalization has become an important research field during the last decade. This field is divided into two main sections. The first is image geolocalization that is used to find out which country, region or city the image belongs to. The second one is refining image localization for uses that require more accuracy such as augmented reality and three dimensional environment reconstruction using images. In this paper we present a processing chain that gathers geographic data from several sources in order to deliver a better geolocalization than the GPS one of an image and precise camera pose parameters. In order to do so, we use multiple types of data. Among this information some are visible in the image and are extracted using image processing, other types of data can be extracted from image file headers or online image sharing platforms related information. Extracted information elements will not be expressive enough if they remain disconnected. We show that grouping these information elements helps finding the best geolocalization of the image.

关键词： image Geolocalization Refining Building Detection Semantic data Extraction Geographic data Collection Multi-Source data Analysis

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Continuous Surface Fitting to Spatial Optical Interferometer data

Continuous Surface Fitting to Spatial Optical Interferometer...

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conference on image reconstruction from incomplete data VI

作者： Rasheed, Sarbast Hajian, Arsen R. Tycner, Christopher Vu, Linda Univ Waterloo Dept Syst Design Engn Waterloo ON N2L 3G1 Canada Cent Michigan Univ Dept Phys Mt Pleasant MI 48859 USA

ISBN: (纸本)9780819482969

In this paper, we describe a practical implementation of an image reconstruction method designed to generate a map of the brightness distribution from data consisting of squared visibilities and complex closure amplitudes resulting from observations of an astronomical target with a broadband, multichannel, spatial optical interferometer. Given the data, the method estimates the true brightness distribution with a model sampled on a rectangular grid of discrete positions on the sky with the assumption that the model intensities in the region not defined by the discrete positions being described by bilinear interpolation of the discrete intensities. The developed image reconstruction method has been applied to real observational data obtained from existing optical interferometer facilities.

关键词： image reconstruction modelling optical interferometry optimization

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