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Journal articles on the topic '3D images processing'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Higgins, William E., and Roderick D. Swift. "Distributed system for processing 3D medical images." Computers in Biology and Medicine 27, no. 2 (1997): 97–115. http://dx.doi.org/10.1016/s0010-4825(96)00042-x.

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Abousalem, Zib ziab. "3D from 2D for Nano images using images processing methods." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 14, no. 2 (2014): 5437–47. http://dx.doi.org/10.24297/ijct.v14i2.2064.

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The scanning electron microscope (SEM) remains a main tool for semiconductor and polymer physics but TEM and AFM are increasingly used for minimum size features which called nanomaterials. In addition some physical properties such as microhardness, grain boundaries and domain structure are observed from optical and polarizing microscope which gives poor information and consequentially the error probability of discussion will be high.Thus it is natural to squeeze out every possible bit of resolution in the SEM, optical and polarizing microscopes for the materials under test. In our paper we wil

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Abousalem, Zib ziab. "3D from 2D for Nano images using images processing methods." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 14, no. 2 (2014): 5437–47. http://dx.doi.org/10.24297/ijct.v14i2.2065.

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The scanning electron microscope (SEM) remains a main tool for semiconductor and polymer physics but TEM and AFM are increasingly used for minimum size features which called nanomaterials. In addition some physical properties such as microhardness, grain boundaries and domain structure are observed from optical and polarizing microscope which gives poor information and consequentially the error probability of discussion will be high. Thus it is natural to squeeze out every possible bit of resolution in the SEM, optical and polarizing microscopes for the materials under test. In our paper we wi

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Wu, Xinming, and Dave Hale. "3D seismic image processing for faults." GEOPHYSICS 81, no. 2 (2016): IM1—IM11. http://dx.doi.org/10.1190/geo2015-0380.1.

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Numerous methods have been proposed to automatically extract fault surfaces from 3D seismic images, and those surfaces are often represented by meshes of triangles or quadrilaterals. However, extraction of intersecting faults is still a difficult problem that is not well addressed. Moreover, mesh data structures are more complex than the arrays used to represent seismic images, and they are more complex than necessary for subsequent processing tasks, such as that of automatically estimating fault slip vectors. We have represented a fault surface using a simpler linked data structure, in which

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Dlesk, Adam, Karel Vach, and Karel Pavelka. "Photogrammetric Co-Processing of Thermal Infrared Images and RGB Images." Sensors 22, no. 4 (2022): 1655. http://dx.doi.org/10.3390/s22041655.

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In some applications of thermography, spatial orientation of the thermal infrared information can be desirable. By the photogrammetric processing of thermal infrared (TIR) images, it is possible to create 2D and 3D results augmented by thermal infrared information. On the augmented 2D and 3D results, it is possible to locate thermal occurrences in the coordinate system and to determine their scale, length, area or volume. However, photogrammetric processing of TIR images is difficult due to negative factors which are caused by the natural character of TIR images. Among the negative factors are

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Alessandro, Massaro, Vitti Valeria, and Galiano Angelo. "Automatic Image Processing Engine Oriented on Quality Control of Electronic Boards." Signal & Image Processing : An International Journal (SIPIJ) 9, no. 2 (2019): 1–14. https://doi.org/10.5281/zenodo.3243307.

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ABSTRACT We propose in this work a study of an image processing engine able to detect automatically the features of electronic board weldings. The engine has been developed by using ImageJ and OpenCV libraries. Specifically the image processing segmentation has been improved by watershed approach. After a complete design of the automation processes, different test have been performed showing the engine efficiency in terms of features extraction, scale setting and thresholding calibration. The engine provides as outputs the storage of the cropped images of each single defects. The proposed engi

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Zhang, Ning, and YongJia Zhao. "3D recognition based on ordered images reconstruction." MATEC Web of Conferences 232 (2018): 02045. http://dx.doi.org/10.1051/matecconf/201823202045.

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Nowadays, more and more applications require precise and quickly 3D recognition, such as augmented reality and robot navigation. In recent years, model-based methods can get accurate object or scene recognition, but it takes a lot of time to reconstruct the model. Therefore, we propose a fast 3D reconstruction method based on ordered images for robust and accurate 3D recognition. The proposed algorithm consists of two parts, the offline processing stage, and the online processing stage. First, in the offline processing stage, the sparse point cloud model of the scene or object is reconstructed

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Johnson, Karl A., Daniel Noble, Rosa Machado, Tristan C. Paul, and Guy M. Hagen. "Flexible Multiplane Structured Illumination Microscope with a Four-Camera Detector." Photonics 9, no. 7 (2022): 501. http://dx.doi.org/10.3390/photonics9070501.

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Fluorescence microscopy provides an unparalleled tool for imaging biological samples. However, producing high-quality volumetric images quickly and without excessive complexity remains a challenge. Here, we demonstrate a four-camera structured illumination microscope (SIM) capable of simultaneously imaging multiple focal planes, allowing for the capture of 3D fluorescent images without any axial movement of the sample. This setup allows for the acquisition of many different 3D imaging modes, including 3D time lapses, high-axial-resolution 3D images, and large 3D mosaics. We imaged mitochondria

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Somogyi, A., A. Barsi, B. Molnar, and T. Lovas. "CROWDSOURCING BASED 3D MODELING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 15, 2016): 587–90. http://dx.doi.org/10.5194/isprs-archives-xli-b5-587-2016.

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Web-based photo albums that support organizing and viewing the users’ images are widely used. These services provide a convenient solution for storing, editing and sharing images. In many cases, the users attach geotags to the images in order to enable using them e.g. in location based applications on social networks. <br><br> Our paper discusses a procedure that collects open access images from a site frequently visited by tourists. Geotagged pictures showing the image of a sight or tourist attraction are selected and processed in photogrammetric processing software that produces

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Somogyi, A., A. Barsi, B. Molnar, and T. Lovas. "CROWDSOURCING BASED 3D MODELING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 15, 2016): 587–90. http://dx.doi.org/10.5194/isprsarchives-xli-b5-587-2016.

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Web-based photo albums that support organizing and viewing the users’ images are widely used. These services provide a convenient solution for storing, editing and sharing images. In many cases, the users attach geotags to the images in order to enable using them e.g. in location based applications on social networks. &lt;br&gt;&lt;br&gt; Our paper discusses a procedure that collects open access images from a site frequently visited by tourists. Geotagged pictures showing the image of a sight or tourist attraction are selected and processed in photogrammetric processing softwar

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Moreno Escobar, Jesús Jaime, Erika Yolanda Aguilar del Villar, Oswaldo Morales Matamoros, and Liliana Chanona Hernández. "3D22MX: Performance Subjective Evaluation of 3D/Stereoscopic Image Processing and Analysis." Mathematics 11, no. 1 (2022): 171. http://dx.doi.org/10.3390/math11010171.

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This work is divided into three parts: (i) a methodology developed for building a 3D/ stereoscopic database, called 3D22MX, (ii) a software tool designed for degradation of 3D/stereoscopic images, and (iii) a psychophysical experiment carried out for a specific type of noise. The novelty of this work is to integrate these three parts precisely to provide not only professionals who design algorithms to estimate three-dimensional image quality but also those who wish to generate new image databases. For the development of the 3D/stereoscopic database, 15 indoor images and 5 outdoor ones were spa

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Legland, David, and Marie-Françoise Devaux. "ImageM: a user-friendly interface for the processing of multi-dimensional images with Matlab." F1000Research 10 (April 30, 2021): 333. http://dx.doi.org/10.12688/f1000research.51732.1.

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Modern imaging devices provide a wealth of data often organized as images with many dimensions, such as 2D/3D, time and channel. Matlab is an efficient software solution for image processing, but it lacks many features facilitating the interactive interpretation of image data, such as a user-friendly image visualization, or the management of image meta-data (e.g. spatial calibration), thus limiting its application to bio-image analysis. The ImageM application proposes an integrated user interface that facilitates the processing and the analysis of multi-dimensional images within the Matlab env

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Wu, Xinming, and Dave Hale. "3D seismic image processing for unconformities." GEOPHYSICS 80, no. 2 (2015): IM35—IM44. http://dx.doi.org/10.1190/geo2014-0323.1.

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In seismic images, an unconformity can be first identified by reflector terminations (i.e., truncation, toplap, onlap, or downlap), and then it can be traced downdip to its corresponding correlative conformity, or updip to a parallel unconformity; for example, in topsets. Unconformity detection is a significant aspect of seismic stratigraphic interpretation, but most automatic methods work only in 2D and can only detect angular unconformities with reflector terminations. Moreover, unconformities pose challenges for automatic techniques used in seismic interpretation. First, it is difficult to

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Ch. Prathima. "Construction of 3D Human Model from 2D Image using PyTorch and Blender." Communications on Applied Nonlinear Analysis 31, no. 6s (2024): 477–88. http://dx.doi.org/10.52783/cana.v31.1238.

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In this study, we present our innovative approach to generating 3D models from 2D images, employing PyTorch, Blender, Python, and OpenCV. Our method integrates image pre-processing techniques, a pre-trained model, and rendering capabilities to produce high-fidelity 3D representations. Initially, the input images, stripped of backgrounds using OpenCV, undergo pre-processing steps to enhance features relevant for 3D reconstruction, such as edge detection and depth estimation. We utilize PyTorch, a deep learning framework, to implement a leading edge model trained on large-scale 3D datasets, enab

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Dunn, R. M., and M. G. Schrlau. "Numerical processing of CNT arrays using 3D image processing of SEM images." Robotics and Computer-Integrated Manufacturing 53 (October 2018): 21–27. http://dx.doi.org/10.1016/j.rcim.2018.03.002.

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Skoglund, Ulf. "Quantitative Image Processing in 3D." Microscopy and Microanalysis 4, S2 (1998): 442–43. http://dx.doi.org/10.1017/s1431927600022339.

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Three-dimensional reconstructions from projections are usually ridden by noise from different sources. A common problem among many three-dimensional reconstruction techniques is the systematic absence of certain projections, but also the accidental absence of spurious projections. In these three-dimensional reconstructions such absences are visible as directional smearing due to convolution. Other convolution effects such as those due to the optics of the instrument used to record the data usually cause severe damping of high frequencies and even contrast reversal (common in images from electr

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Yang, Zhi Yuan. "A Reconstruction Model for 3D Human Motion Based on Images Processing." Applied Mechanics and Materials 556-562 (May 2014): 5021–23. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5021.

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Traditional 3D reconstruction algorithms use fixes shape base which hardly expresses the change parameters of complex movement and motion law of large-scale dynamic features, thereby leading to non-realistic reconstruction results. The paper proposes a new reconstruction algorithm for 3D motion images that corrects the neighborhood system of feature points by motion parameters and reasons number base K to ensure accuracy. The simulation results show that, the proposed algorithm avoids drawbacks of sports reconstruction results caused by the great randomness of motion state, thereby complete 3D

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Kumar, Ridhiman. "3d Image Processing Robot." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 3398–403. http://dx.doi.org/10.22214/ijraset.2022.43878.

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Abstract: For an 3D IMAGE PROCESSING robot to truly succeed, there must be a variety of ways for robot to interpret its surrounding environment, both quickly and accurately. This report focuses on investigating improvements for a sub- problem of environmental perception, namely 3D image processing, referring to localizing and classifying objects of interests in a specified environment. The objects of interests in a process security scan of baggage or to analyse scans of materials to understand their structure. Recently python3 & machine learning programming approaches have made significant

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Kumar, Ridhiman, Pulkit Singhal, and Sanchit Goel. "3d Image Processing Robot." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 1697–702. http://dx.doi.org/10.22214/ijraset.2022.44069.

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Abstract: For an 3D IMAGE PROCESSING robot to truly succeed, there must be a variety of ways for robot to interpret its surrounding environment, both quickly and accurately. This report focuses on investigating improvements for a sub- problem of environmental perception, namely 3D image processing, referring to localizing and classifying objects of interests in a specified environment. The objects of interests in a process security scan of baggage or to analyse scans of materials to understand their structure. Recently python3 & machine learning programming approaches have made significant

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Tien, Mau Le, Khoi Nguyen Tan, and Romain Raffin. "Matching correspondence between images and 3D model in a reconstruction process." Journal of Science and Technology: Issue on Information and Communications Technology 2, no. 1 (2016): 64. http://dx.doi.org/10.31130/jst.2016.29.

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3D reconstruction from photographies is an active research trend. The resolution of the sensors is increasing and the data processing is more accurate (not only restricted to calibrated stereo vision). In archaeological research it becomes a common way to safeguard some views of an ancient site, coupled with a manner to describe in 3D the artifacts with the same set of photographies. Archaeological scientist are now facing a complex problem to handle these digital data. An important usage is to describe semantically the artifacts. It is generally made ”by hand”, supplied by the knowledge of th

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Arnaubec, Aurélien, Maxime Ferrera, Javier Escartín, Marjolaine Matabos, Nuno Gracias, and Jan Opderbecke. "Underwater 3D Reconstruction from Video or Still Imagery: Matisse and 3DMetrics Processing and Exploitation Software." Journal of Marine Science and Engineering 11, no. 5 (2023): 985. http://dx.doi.org/10.3390/jmse11050985.

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This paper addresses the lack of “push-button” software for optical marine imaging, which currently limits the use of photogrammetric approaches by a wider community. It presents and reviews an open source software, Matisse, for creating textured 3D models of complex underwater scenes from video or still images. This software, developed for non-experts, enables routine and efficient processing of underwater images into 3D models that facilitate the exploitation and analysis of underwater imagery. When vehicle navigation data are available, Matisse allows for seamless integration of such data t

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Tanwar, Himanshu, and Gaurav Kumar. "Review Paper on Techniques of 2D to 3D Image Reconstruction." International Journal for Research in Applied Science and Engineering Technology 11, no. 10 (2023): 370–74. http://dx.doi.org/10.22214/ijraset.2023.55996.

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Abstract: The review paper emphasize on reducing technologies for 2D and 3D imaging, as well as model conversion. Although the popularity of 3D hardware is growing rapidly in the present era, 3D content is still dominated by its 2D counterpart. There are two main categories of image processing now available in the market, namely analogue and digital image processing. To produce hard copies such as scanned pictures and printouts, with images being the most common output, the analogue IP technique is used. On the other hand, Digital IP is used to manipulate digital images using computers, the ou

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Song, Sha Jia, and Neng He. "Digital Image Processing and Coordinate Transformation for Vic-3D System." Applied Mechanics and Materials 333-335 (July 2013): 1002–6. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.1002.

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This paper discusses the problem about the processing of the images collected by Vic-3D measurement system and the coordinate transformation between the pixel coordinate and plane coordinate. Correlation analysis on image information is carried out by using Matlab. Template matching method is used to get the pixel coordinates of the marked part on the images. Based on affine transformation and least square method, I transform the pixel coordinates of the marked part on the images into the plane coordinates.

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Lokesh M R, Anushitha K, Ashok D, Deepak Raj K, and Harshitha K. "3D Point-Cloud Processing Using Panoramic Images for Object Detection." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 3 (2024): 186–98. http://dx.doi.org/10.32628/cseit2410318.

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The Remote sensing application plays a major role in real-world critical application projects. The research introduces a novel approach, "3D Point-Cloud Processing Using Panoramic Images for Object Detection," aimed at enhancing the interpretability of laser point clouds through the integration of color information derived from panoramic images. Focusing on the context of Mobile Measurement Systems (MMS), where various digital cameras are utilized, the work addresses the challenges associated with processing panoramic images offering a 360-degree view angle. The core objective is to develop a

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Kountchev, Roumen, Rumen Mironov, and Roumiana Kountcheva. "Analysis of the Recursive Locally-Adaptive Filtration of 3D Tensor Images." Symmetry 15, no. 8 (2023): 1493. http://dx.doi.org/10.3390/sym15081493.

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This work is focused on the computational complexity (CC) reduction of the locally-adaptive processing of 3D tensor images, based on recursive approaches. As a basis, a local averaging operation is used, implemented as a sliding mean 3D filter (SM3DF) with a central symmetric 3D kernel. Symmetry plays a very important role in constructing the working window. The presented theoretical approach could be adopted in various algorithms for locally-adaptive processing, such as additive noise reduction, sharpness enhancement, texture segmentation, etc. The basic characteristics of the recursive SM3DF

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Ridene, Safa, Reda Yaagoubi, Imane Sebari, and Audrey Alajouanine. "Shadow detection and correction using a combined 3D GIS and image processing approach." Revue Internationale de Géomatique 29, no. 3-4 (2019): 241–53. http://dx.doi.org/10.3166/rig.2019.00091.

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While shadow can give useful information about size and shape of objects, it can pose problems in feature detection and object detection, thereby, it represents one of the major perturbator phenomenons frequently occurring on images and unfortunately, it is inevitable. “Shadows may lead to the failure of image analysis processes and also cause a poor quality of information which in turn leads to problems in implementation of algorithms.” (Mahajan and Bajpayee, 2015). It also affects multiple image analysis applications, whereby shadow cast by buildings deteriorate the spectral values of the su

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Janssen, M. H. J., A. J. E. M. Janssen, E. J. Bekkers, J. Oliván Bescós, and R. Duits. "Design and Processing of Invertible Orientation Scores of 3D Images." Journal of Mathematical Imaging and Vision 60, no. 9 (2018): 1427–58. http://dx.doi.org/10.1007/s10851-018-0806-0.

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Zamorano, Jose Luis. "Developments in 3D Echocardiography." European Cardiology Review 5, no. 2 (2009): 10. http://dx.doi.org/10.15420/ecr.2009.5.2.10.

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3D echocardiography (3DE) will gain increasing acceptance as a routine clinical tool as the technology evolves due to advances in technology and computer processing power. Images obtained from 3DE provide more accurate assessment of complex cardiac anatomy and sophisticated functional mechanisms compared with conventional 2D echocardiography (2DE), and are comparable to those achieved with magnetic resonance imaging. Many of the limitations associated with the early iterations of 3DE prevented their widespread clinical application. However, recent significant improvements in transducer and pos

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Xu, Saisai. "Sports Auxiliary Training Based on Computer Digital 3D Video Image Processing." Computational Intelligence and Neuroscience 2022 (January 10, 2022): 1–8. http://dx.doi.org/10.1155/2022/2105790.

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With the continuous development of social economy, sports have received more and more attention. How to improve the quality of sports has become the focus of research. The computer digital 3D video image processing is introduced in this paper, taking shooting as the starting point, in which computer digitization technology is used to collect images of sequence targets through combining the operation flow of shooting, monitor the results and data of shooting and process 3D video images, conduct the analyze and mine according to the corresponding statistical processing results, and evaluate the

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Rahadianti, Laksmita. "3D Information from Scattering Media Images." Jurnal Ilmu Komputer dan Informasi 14, no. 1 (2021): 73–82. http://dx.doi.org/10.21609/jiki.v14i1.963.

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Scattering media environments are real-world conditions that occur often, in daily life. Some examples of scattering media are haze, fog, and other bad weather conditions. In these environments, micro-particles in the surrounding media interfere with light propagation and image formation. Thus, images that are captured in these scattering media environments will suffer from low contrast and loss of intensity. This becomes an issue for computer vision methods that employ features found in the scene. To solve this issue, many approaches must estimate the corresponding clear scene prior to furthe

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Nagornov, N. N. "Defining of the Minimum Wavelet Filter Coefficients Bit-Width for 3D Medical Imaging." INFORMACIONNYE TEHNOLOGII 27, no. 8 (2021): 425–34. http://dx.doi.org/10.17587/it.27.425-434.

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Medical imaging uses a variety of modalities to provide visual information about a patient. Various methods are used to process this data. Many of them are based on discrete wavelet transform (DWT). Its use will allow effective denoising and compression of 2D and 3D images. This paper proposes a new approach to linear time-invariant wavelet filtering using quantized filter coefficients when using which the computational errors have different signs and allow to partially compensate each other as a result of which the processed image is of high quality. The analysis of the quantization noise of

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Lee, J. J., J. L. Hunter, W. J. Lin, and R. W. Linton. "Three-Dimensional Display of Secondary Ion Images." Proceedings, annual meeting, Electron Microscopy Society of America 48, no. 2 (1990): 344–45. http://dx.doi.org/10.1017/s0424820100135320.

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Since the sample surface region is continuously sputtered in dynamic secondary ion mass spectrometry (SIMS), three dimensional (3D) chemical maps can be obtained by acquiring a series of two dimensional (2D) images. Owing to the limitations of the ion beam sputtering technique, SIMS analysis artifacts resulting from factors such as surface roughness, matrix effects, and atomic mixing are present in the 3D volume data. One potential advantage of using 3D display is to provide visual feedback regarding the elimination of artifacts by utilizing correction algorithms as well as correlative informa

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Wu, Xinming, and Dave Hale. "Automatically interpreting all faults, unconformities, and horizons from 3D seismic images." Interpretation 4, no. 2 (2016): T227—T237. http://dx.doi.org/10.1190/int-2015-0160.1.

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Extracting fault, unconformity, and horizon surfaces from a seismic image is useful for interpretation of geologic structures and stratigraphic features. Although others automate the extraction of each type of these surfaces to some extent, it is difficult to automatically interpret a seismic image with all three types of surfaces because they could intersect with each other. For example, horizons can be especially difficult to extract from a seismic image complicated by faults and unconformities because a horizon surface can be dislocated at faults and terminated at unconformities. We have pr

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Dlesk, A., K. Vach, and P. Holubec. "USAGE OF PHOTOGRAMMETRIC PROCESSING OF THERMAL IMAGES FOR CIVIL ENGINEERS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5 (November 19, 2018): 99–103. http://dx.doi.org/10.5194/isprs-archives-xlii-5-99-2018.

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<p><strong>Abstract.</strong> In climate conditions of the Czech Republic is getting more important to carry out thermal inspection during documentation and inventory of buildings. Capturing and photogrammetric processing of thermal images requires special photogrammetric approaches especially because of low thermal image resolution. Part of this paper is focused on photogrammetric processing of thermal images using different methods with different 2D and 3D results which help civil engineers and architects better interpretation of thermal imaging. Those results are presented

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Martens, Ditlef, Trygve Hausken, Odd Helge Gilja, Erik Steen, Hans J. Alker, and Svein Ødegaard. "PIO 7501 3D processing of ultrasound images using a novel echopac-3D® software." Ultrasound in Medicine & Biology 23 (January 1997): S136. http://dx.doi.org/10.1016/s0301-5629(97)80806-x.

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Mu, Daocheng, Shanchuan Guo, Jinquan Sun, and Lingsha Zeng. "Research on data processing of 3D modeling by images based on helicopter oblique photogrammetry." Journal of Physics: Conference Series 2870, no. 1 (2024): 012006. http://dx.doi.org/10.1088/1742-6596/2870/1/012006.

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Abstract The use of tilting photogrammetry technology to build a refined urban 3D model has become the industry research hotspot with the rapid development of China’s “digital city.” To investigate and analyze the methodology of 3D data modeling using helicopter oblique photogrammetry, a 3D model was generated for a study area covering approximately 34 km2. This paper delves into the technical process of 3D modeling data processing utilizing helicopter oblique photogrammetry, and it examines the precision of the model results alongside a comprehensive technical analysis. The results show that

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Zrzavy, Tobias, Alice Wielandner, Lukas Haider, et al. "FLAIR2 post-processing: improving MS lesion detection in standard MS imaging protocols." Journal of Neurology 269, no. 1 (2021): 461–67. http://dx.doi.org/10.1007/s00415-021-10833-x.

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Abstract Background Technical improvements in magnetic resonance imaging (MRI) acquisition, such as higher field strength and optimized sequences, lead to better multiple sclerosis (MS) lesion detection and characterization. Multiplication of 3D-FLAIR with 3D-T2 sequences (FLAIR2) results in isovoxel images with increased contrast-to-noise ratio, increased white–gray-matter contrast, and improved MS lesion visualization without increasing MRI acquisition time. The current study aims to assess the potential of 3D-FLAIR2 in detecting cortical/leucocortical (LC), juxtacortical (JC), and white mat

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Kaiser, H. J., U. Buell, O. Sabri, and G. Wagenknecht. "MRI-Based Individual 3D Region-of-Interest Atlases of the Human Brain." Methods of Information in Medicine 43, no. 04 (2004): 383–90. http://dx.doi.org/10.1055/s-0038-1633890.

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Summary Objectives: Introduction of a new atlas-based method for analyzing functional data which takes into account the variability of individual human brains and the partial volume effects of functional emission computed tomography images in complex anatomical 3D regions, as well as describing the underlying multi-modal image processing principles. Methods: 3D atlas extraction is done directly by automated segmentation of individual magnetic resonance images of the patient’s head. This is done in two steps: voxel-based classification of T1-weighted images for tissue differentiation (low-level

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Chervyakov, Nikolay, Pavel Lyakhov, and Nikolay Nagornov. "Analysis of the Quantization Noise in Discrete Wavelet Transform Filters for 3D Medical Imaging." Applied Sciences 10, no. 4 (2020): 1223. http://dx.doi.org/10.3390/app10041223.

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Denoising and compression of 2D and 3D images are important problems in modern medical imaging systems. Discrete wavelet transform (DWT) is used to solve them in practice. We analyze the quantization noise effect in coefficients of DWT filters for 3D medical imaging in this paper. The method for wavelet filters coefficients quantizing is proposed, which allows minimizing resources in hardware implementation by simplifying rounding operations. We develop the method for estimating the maximum error of 3D grayscale and color images DWT with various bits per color (BPC). The dependence of the peak

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Sang, Ruijuan, Adam John Manley, Zhihui Wu, and Xinhao Feng. "Digital 3D Wood Texture: UV-Curable Inkjet Printing on Board Surface." Coatings 10, no. 12 (2020): 1144. http://dx.doi.org/10.3390/coatings10121144.

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Natural wood textures are appreciated in most forest products industries for their appealing visual characteristics including grain and color, but also their fine surface tactile sensation. The following presents an ultraviolet (UV)-curable inkjet technology printing 3D wood texture on wood-based substrate by image processing and surface treatment. The UV printing was created from scanned digital images of a real wood surface and processed in graphics software. The images were converted to grayscale graphics by selecting color range and setting the parameter of fuzziness. The grayscale images

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Dlesk, A., K. Vach, and P. Holubec. "ANALYSIS OF POSSIBILITIES OF LOW-COST PHOTOGRAMMETRY FOR INTERIOR MAPPING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5/W3 (December 5, 2019): 27–31. http://dx.doi.org/10.5194/isprs-archives-xlii-5-w3-27-2019.

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Abstract. This paper shows the possibilities of using low-cost photogrammetry for interior mapping as a tool to gather fast and accurate data for 3D modelling and BIM. To create a 3D model of a building interior with a high level of detail requires techniques such as laser scanning and photogrammetry. In the case of photogrammetry, it is possible to use standard cameras and SfM software to create an accurate point cloud which can be used for 3D modelling and then for BIM. The images captured indoor are often captured under lower light conditions. Using different exposure during capturing of im

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Farella, Elisa Mariarosaria, Alessandro Torresani, and Fabio Remondino. "Refining the Joint 3D Processing of Terrestrial and UAV Images Using Quality Measures." Remote Sensing 12, no. 18 (2020): 2873. http://dx.doi.org/10.3390/rs12182873.

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The paper presents an efficient photogrammetric workflow to improve the 3D reconstruction of scenes surveyed by integrating terrestrial and Unmanned Aerial Vehicle (UAV) images. In the last years, the integration of this kind of images has shown clear advantages for the complete and detailed 3D representation of large and complex scenarios. Nevertheless, their photogrammetric integration often raises several issues in the image orientation and dense 3D reconstruction processes. Noisy and erroneous 3D reconstructions are the typical result of inaccurate orientation results. In this work, we pro

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Tomura, Noriaki, Makoto Koga, Takahiro Otani, Toshiaki Nishii, and Satoshi Takahashi. "Bone-free 3D Computed Tomography Angiography Using an Image-processing Application - Imaging Efficacy for Aneurysms Near the Skull Base and Clipped Cerebral Aneurysms." European Neurological Review 5, no. 1 (2010): 103. http://dx.doi.org/10.17925/enr.2010.05.01.103.

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Bone-free 3D computed tomography angiography (CTA) can be carried out to image cerebral aneurysms near the skull base when the elimination of bones is surgically required. The maximum intensity projection (MIP) images were initially obtained using the application. Further post-processing was performed to obtain the MIP and volume-rendering (VR) images. This technique did not increase radiation exposure to patients, and remnant bones in the initial MIP images automatically acquired by the application for bone elimination could be easily removed through post-processing. Although parts of vessels

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Yang, Myongkyoon, and Seong-In Cho. "High-Resolution 3D Crop Reconstruction and Automatic Analysis of Phenotyping Index Using Machine Learning." Agriculture 11, no. 10 (2021): 1010. http://dx.doi.org/10.3390/agriculture11101010.

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Beyond the use of 2D images, the analysis of 3D images is also necessary for analyzing the phenomics of crop plants. In this study, we configured a system and implemented an algorithm for the 3D image reconstruction of red pepper plant (Capsicum annuum L.), as well as its automatic analysis. A Kinect v2 with a depth sensor and a high-resolution RGB camera were used to obtain more accurate reconstructed 3D images. The reconstructed 3D images were compared with conventional reconstructed images, and the data of the reconstructed images were analyzed with respect to their directly measured featur

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Lim, Chee Chin, Apple Ho Wei Ling, Yen Fook Chong, Mohd Yusoff Mashor, Khalilalrahman Alshantti, and Mohd Ezane Aziz. "Comparative Analysis of Image Processing Techniques for Enhanced MRI Image Quality: 3D Reconstruction and Segmentation Using 3D U-Net Architecture." Diagnostics 13, no. 14 (2023): 2377. http://dx.doi.org/10.3390/diagnostics13142377.

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Osteosarcoma is a common type of bone tumor, particularly prevalent in children and adolescents between the ages of 5 and 25 who are experiencing growth spurts during puberty. Manual delineation of tumor regions in MRI images can be laborious and time-consuming, and results may be subjective and difficult to replicate. Therefore, a convolutional neural network (CNN) was developed to automatically segment osteosarcoma cancerous cells in three types of MRI images. The study consisted of five main stages. First, 3692 DICOM format MRI images were acquired from 46 patients, including T1-weighted, T

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Shan, Feng, and Youya Wang. "Animation Design Based on 3D Visual Communication Technology." Scientific Programming 2022 (January 5, 2022): 1–11. http://dx.doi.org/10.1155/2022/6461538.

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The depth synthesis of image texture is neglected in the current image visual communication technology, which leads to the poor visual effect. Therefore, the design method of film and TV animation based on 3D visual communication technology is proposed. Collect film and television animation videos through 3D visual communication content production, server processing, and client processing. Through stitching, projection mapping, and animation video image frame texture synthesis, 3D vision conveys animation video image projection. In order to ensure the continuous variation of scaling factors be

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Liu, Huabai. "Visualization of the Residual Network for 3D Image Recognition considering the SVM Combined with the K-Nearest Neighbor Algorithm." Mobile Information Systems 2022 (August 11, 2022): 1–10. http://dx.doi.org/10.1155/2022/5446946.

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The support vector machine (SVM) combined with the K-nearest neighbor (KNN) algorithm is applied to the 3D image recognition algorithm to cope with the issues of 3D image recognition in the image processing process. In this paper, the KNN algorithm is used to extend the eigenvalues of the residual network from frequency to complex plane according to the eigenvalues of 3D images, and the relevant data are extracted from the images by using the corresponding separation rules of the SVM. Subsequently, a sparse observation model is established based on the SVM combined with the KNN, and the 3D ima

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V., Kovendan. "Optimized Solution for Object based Segmentation and Shadow Removal using Remote Sensing Images." Advancement in Image Processing and Pattern Recognition 3, no. 1 (2020): 1–6. https://doi.org/10.5281/zenodo.3764464.

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<em>In the last 15 years there was a big analysis need on high resolution images for all the application areas such as medical field, security system and also remote sensing images. The remote sensing image plays the major role in the image processing which needs the high quality of the image for different applications. However processing the surface features are much complex with different kinds of objects and the shadow formation with the acquired images such as high rising buildings and other obstacles around the images. These can be processed by the modernization using 3D, position recogni

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Peng, Sijia, and Guojing Yu. "Image Stitching Technology in 3D Film Production Based on Digital Image Processing." International Transactions on Electrical Energy Systems 2022 (August 31, 2022): 1–13. http://dx.doi.org/10.1155/2022/5688273.

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Image stitching in 3D film production synchronizes multiple independent frame images as a single high-resolution output. The stitching process is common for displaying a large coverage or shot in a single frame containing distinct images. For improving the realistic accuracy of 3D film images, this manuscript introduces an Itinerant Pixel-Matching-based Stitching Process (IPMSP). The proposed stitching process relies on cross-sectional pixels identified in merging two or more images. Based on the linear cumulative distribution in augmenting images, the homogeneity feature is identified. If the

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Zhang, Yong, Jun Fang Ni, and Peng Liu. "Research on 3D Reconstruction System for Medical Images." Key Engineering Materials 464 (January 2011): 57–60. http://dx.doi.org/10.4028/www.scientific.net/kem.464.57.

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In accordance with the object-oriented programming, a system for 3D medical images of reconstruction and display has been designed and implemented. The overall software structure is established based on VC++6.0 and display technique of Open Graphics Library. The functional modules, such as acquisition of encoded 3D data, pre-process, reconstruction and display, are achieved by the design and implementation of customized classes. At last the software system provides user-friendly graphical user interfaces, highly efficient data processing and reconstruction, and rapid capability of graphic disp

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