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Relevant bibliographies by topics / Segmentation of tri-dimensional images

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Academic literature on the topic 'Segmentation of tri-dimensional images'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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Journal articles on the topic "Segmentation of tri-dimensional images"

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Oliveira, Francisco PM, Diogo Borges Faria, and João Manuel RS Tavares. "Automated segmentation of the incus and malleus ossicles in conventional tri-dimensional computed tomography images." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 228, no. 8 (2014): 810–18. http://dx.doi.org/10.1177/0954411914546123.

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Priego, Blanca, and Richard J. Duro. "An Approach for the Customized High-Dimensional Segmentation of Remote Sensing Hyperspectral Images." Sensors 19, no. 13 (2019): 2887. http://dx.doi.org/10.3390/s19132887.

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This paper addresses three problems in the field of hyperspectral image segmentation: the fact that the way an image must be segmented is related to what the user requires and the application; the lack and cost of appropriately labeled reference images; and, finally, the information loss problem that arises in many algorithms when high dimensional images are projected onto lower dimensional spaces before starting the segmentation process. To address these issues, the Multi-Gradient based Cellular Automaton (MGCA) structure is proposed to segment multidimensional images without projecting them

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Wang, Jiang Wei. "An Improved Three-Dimensional Medical Image Segmentation Approach." Advanced Materials Research 912-914 (April 2014): 1150–55. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1150.

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This paper presents an three-dimensional medical image segmentation approach based on Live-Wire algorithm, through the virtual slices extraction to transform the direction of the segmentation from parallel direction into meridian direction, the amount of user interaction is independent of the number of the sequence of medicine images, improves the automation level of medicine images segmentation. This paper also improved the efficiency of traditional Live-Wire algorithm by four binary heap. Experiment shows that the approach can segmented the interest objects from the sequence of medical image

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Delves, L. M., R. T. McQuillan, R. Wilkinson, J. B. E. Sandys-Renton, and C. J. Oliver. "A two-dimensional segmentation algorithm for SAR images." Inverse Problems 7, no. 2 (1991): 203–20. http://dx.doi.org/10.1088/0266-5611/7/2/005.

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., Narendra Kumar Patel. "AUTOMATED THREE-DIMENSIONAL SEGMENTATION OF RETINAL OCT IMAGES." International Journal of Research in Engineering and Technology 04, no. 24 (2015): 60–65. http://dx.doi.org/10.15623/ijret.2015.0424010.

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Feng Shou, Zhang, Dong Fang, Liu Jian Ting, and Meng Xin. "An improved method of microscopic image segmentation." MATEC Web of Conferences 176 (2018): 01041. http://dx.doi.org/10.1051/matecconf/201817601041.

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In order to improve the effectiveness and accuracy of image processing in modern medical inspection, a segmentation image optimization algorithm of improved two-dimensional maximum entropy threshold based on genetic algorithm combined with mathematical morphology is proposed, in view of the microscopic cell images characteristic and the shortcomings of the traditional segmentation algorithm. Through theoretical analysis and contrast test, the segmentation method proposed is superior to the traditional threshold segmentation method in microscopic cell images, and the average segmentation time o

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Dai, Shang Ping, Tao Jin, and Qing Liang. "Segmentation of Adhering Cell Images Based on Two-Dimensional Histogram." Advanced Materials Research 588-589 (November 2012): 2108–12. http://dx.doi.org/10.4028/www.scientific.net/amr.588-589.2108.

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For duplication and adhering of cells images in medical micro-images, it presents a variety of segmentation method based on two-dimensional histogram of the distance transformed images.Two-dimensional histogram is constructed by the concerned center pixel’s gray scale in a window .We can select gray mask by observing the characteristics distribution of the histogram of the region through the adhering cell image,getting the inverse transformed images.Experimental results show that different type of histograam segmention method are applicable to different adhering cell images’ segmentation.

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Ding, Mingyue, H. Neale Cardinal, and Aaron Fenster. "Automatic needle segmentation in three-dimensional ultrasound images using two orthogonal two-dimensional image projections." Medical Physics 30, no. 2 (2003): 222–34. http://dx.doi.org/10.1118/1.1538231.

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Clark, A. E., B. Biffi, R. Sivera, et al. "Developing and testing an algorithm for automatic segmentation of the fetal face from three-dimensional ultrasound images." Royal Society Open Science 7, no. 11 (2020): 201342. http://dx.doi.org/10.1098/rsos.201342.

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Fetal craniofacial abnormalities are challenging to detect and diagnose on prenatal ultrasound (US). Image segmentation and computer analysis of three-dimensional US volumes of the fetal face may provide an objective measure to quantify fetal facial features and identify abnormalities. We have developed and tested an atlas-based partially automated facial segmentation algorithm; however, the volumes require additional manual segmentation (MS), which is time and labour intensive and may preclude this method from clinical adoption. These manually refined segmentations can then be used as a refer

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Oguz, Ipek, Natalie Yushkevich, Alison Pouch, et al. "Minimally interactive placenta segmentation from three-dimensional ultrasound images." Journal of Medical Imaging 7, no. 01 (2020): 1. http://dx.doi.org/10.1117/1.jmi.7.1.014004.

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Dissertations / Theses on the topic "Segmentation of tri-dimensional images"

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Stanier, Jeffrey. "Segmentation and editing of 3-dimensional medical images." Thesis, University of Ottawa (Canada), 1994. http://hdl.handle.net/10393/10031.

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Neuroradiologists rely on scanned images of the human brain to diagnose many pathologies. The images, even those collected in 3-dimensions, are typically displayed as a 2-dimensional collage of slices and much of the intrinsic 3-D structure of the data is lost. Image Atlases are commonly used to delineate and label Volumes Of Interest (VOIs) in 3-dimensional, slice-type, medical data sets. They can serve many purposes: to highlight important regions, to quantify the size and shape of structures in the images, to define a surface for 3-D rendering and to help in navigation through a series of i

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Cai, Hongmin. "Quality enhancement and segmentation for biomedical images." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B39380130.

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Cai, Hongmin, and 蔡宏民. "Quality enhancement and segmentation for biomedical images." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39380130.

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Quartararo, John David. "Semi-automated segmentation of 3D medical ultrasound images." Worcester, Mass. : Worcester Polytechnic Institute, 2008. http://www.wpi.edu/Pubs/ETD/Available/etd-020509-161314/.

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Thesis (M.S.)--Worcester Polytechnic Institute.<br>Keywords: 3d ultrasound; ultrasound; image processing; image segmentation; 3d image segmentation; medical imaging Includes bibliographical references (p.142-148).

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Quartararo, John David. "Semi-Automated Segmentation of 3D Medical Ultrasound Images." Digital WPI, 2009. https://digitalcommons.wpi.edu/etd-theses/155.

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A level set-based segmentation procedure has been implemented to identify target object boundaries from 3D medical ultrasound images. Several test images (simulated, scanned phantoms, clinical) were subjected to various preprocessing methods and segmented. Two metrics of segmentation accuracy were used to compare the segmentation results to ground truth models and determine which preprocessing methods resulted in the best segmentations. It was found that by using an anisotropic diffusion filtering method to reduce speckle type noise with a 3D active contour segmentation routine using the leve

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Berent, Jesse. "Coherent multi-dimensional segmentation of multiview images using a variational framework and applications to image based rendering." Thesis, Imperial College London, 2008. http://hdl.handle.net/10044/1/1419.

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Image Based Rendering (IBR) and in particular light field rendering has attracted a lot of attention for interpolating new viewpoints from a set of multiview images. New images of a scene are interpolated directly from nearby available ones, thus enabling a photorealistic rendering. Sampling theory for light fields has shown that exact geometric information in the scene is often unnecessary for rendering new views. Indeed, the band of the function is approximately limited and new views can be rendered using classical interpolation methods. However, IBR using undersampled light fields suffers f

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Manousakas, Ioannis. "A comparative study of segmentation algorithms applied to 2- and 3- dimensional medical images." Thesis, University of Aberdeen, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360340.

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A method that enables discriminating between CSF-grey matter edges and grey-white matter edges separately has been suggested. It was obvious that edges from this method are more complete that those resolved by the original method and have fewer artifacts. Some edges that were undetected before, are now detected because they do not have any influence from stronger nearby edges. Texture noise is also suppressed and this allows us to work at higher space scales. These 3D edge detection methods proved to be superior to the equivalent 2D methods because they can calculate the gradient more accurate

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Kéchichian, Razmig. "Structural priors for multiobject semi-automatic segmentation of three-dimensional medical images via clustering and graph cut algorithms." Phd thesis, INSA de Lyon, 2013. http://tel.archives-ouvertes.fr/tel-00967381.

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We develop a generic Graph Cut-based semiautomatic multiobject image segmentation method principally for use in routine medical applications ranging from tasks involving few objects in 2D images to fairly complex near whole-body 3D image segmentation. The flexible formulation of the method allows its straightforward adaption to a given application.\linebreak In particular, the graph-based vicinity prior model we propose, defined as shortest-path pairwise constraints on the object adjacency graph, can be easily reformulated to account for the spatial relationships between objects in a given pro

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Pacheco, Edward Flórez. "Quantificação da dinâmica de estruturas em imagens de medicina nuclear na modalidade PET." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/3/3142/tde-08052012-114807/.

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A presença que tem hoje a Medicina Nuclear como modalidade de obtenção de imagens médicas é muito importante e um dos principais procedimentos utilizados hoje nos centros de saúde, tendo como grande vantagem a capacidade de conseguir analisar o comportamento metabólico do paciente, fazendo possíveis diagnósticos precoces. Este projeto está baseado em imagens médicas obtidas através da modalidade PET (Positron Emission Tomography) a qual está tendo uma crescente difusão e aceitação. Para isso, temos desenvolvido uma estrutura integral de processamento de imagens tridimensionais PET, a qual está

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Blanc, Beyne Thibault. "Estimation de posture 3D à partir de données imprécises et incomplètes : application à l'analyse d'activité d'opérateurs humains dans un centre de tri." Thesis, Toulouse, INPT, 2020. http://www.theses.fr/2020INPT0106.

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Dans un contexte d’étude de la pénibilité et de l’ergonomie au travail pour la prévention des troubles musculo-squelettiques, la société Ebhys cherche à développer un outil d’analyse de l’activité des opérateurs humains dans un centre de tri, par l’évaluation d’indicateurs ergonomiques. Pour faire face à l’environnement non contrôlé du centre de tri et pour faciliter l’acceptabilité du dispositif, ces indicateurs sont mesurés à partir d’images de profondeur. Une étude ergonomique nous permet de définir les indicateurs à mesurer. Ces indicateurs sont les zones d’évolution des mains de l’opérate

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Books on the topic "Segmentation of tri-dimensional images"

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Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis. AK Peters, 2004.

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Book chapters on the topic "Segmentation of tri-dimensional images"

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Suk, Minsoo, and Suchendra M. Bhandarkar. "Range Image Segmentation." In Three-Dimensional Object Recognition from Range Images. Springer Japan, 1992. http://dx.doi.org/10.1007/978-4-431-68213-4_3.

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Anh, Vo, Junji Maeda, Tohru Ishizaka, Yukinori Suzuki, and Quang Tieng. "Two-dimensional fractal segmentation of natural images." In Image Analysis and Processing. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63507-6_213.

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Josephson, Klas, Anders Ericsson, and Johan Karlsson. "Segmentation of Medical Images Using Three-Dimensional Active Shape Models." In Image Analysis. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499145_73.

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Garczyk, Żaneta, Sebastian Stach, Ştefan Tălu, Sobola Dinara, and Zygmunt Wróbel. "Segmentation of Three-Dimensional Images of the Butterfly Wing Surface." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91211-0_10.

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Kolesnik, Marina, and Ales Fexa. "Multi-dimensional Color Histograms for Segmentation of Wounds in Images." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11559573_123.

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Pham, Dzung L., and Jerry L. Prince. "An Adaptive Fuzzy Segmentation Algorithm for Three-Dimensional Magnetic Resonance Images." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48714-x_11.

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Song, Ting, Vivian S. Lee, Henry Rusinek, Samson Wong, and Andrew F. Laine. "Integrated Four Dimensional Registration and Segmentation of Dynamic Renal MR Images." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11866763_93.

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Benning, Kai, Miriam Menzel, Jan André Reuter, and Markus Axer. "Independent Component Analysis for Noise and Artifact Removal in Three-Dimensional Polarized Light Imaging." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82427-3_7.

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AbstractIn recent years, Independent Component Analysis (ICA) has successfully been applied to remove noise and artifacts in images obtained from Three-dimensional Polarized Light Imaging (3D-PLI) at the mesoscale (i.e., 64 $$\upmu $$ μ m). Here, we present an automatic denoising procedure for gray matter regions that allows to apply the ICA also to microscopic images, with reasonable computational effort. Apart from an automatic segmentation of gray matter regions, we applied the denoising procedure to several 3D-PLI images from a rat and a vervet monkey brain section.

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Márquez, Jorge, and Francis Schmitt. "Radiometric correction of color cryosection images for three-dimensional segmentation of fine structures." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0046944.

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Zhu, Yun, Xenophon Papademetris, Albert J. Sinusas, and James S. Duncan. "Bidirectional Segmentation of Three-Dimensional Cardiac MR Images Using a Subject-Specific Dynamical Model." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-85990-1_54.

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Conference papers on the topic "Segmentation of tri-dimensional images"

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Wei, Yong, Bin Xu, Mengyi Ying, Junfeng Qu, and Ryan Duke. "Two dimensional paraspinal muscle segmentation in CT images." In 2017 International Conference on Progress in Informatics and Computing (PIC). IEEE, 2017. http://dx.doi.org/10.1109/pic.2017.8359531.

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Aggarwal, Paras, Himani Mittal, Prakash Kumar Samanta, and Bhawna Dhruv. "Review of Segmentation Techniques on Multi-Dimensional Images." In 2018 International Conference on Power Energy, Environment and Intelligent Control (PEEIC). IEEE, 2018. http://dx.doi.org/10.1109/peeic.2018.8665405.

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Park, Jonggeun, Byungjun Baek, Choong-Il Ahn, Kyo Bum Ku, Dong Kyun Jeong, and Chulhee Lee. "Automated segmentation of three-dimensional MR brain images." In Medical Imaging, edited by Joseph M. Reinhardt and Josien P. W. Pluim. SPIE, 2006. http://dx.doi.org/10.1117/12.655532.

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Datta, Aloke, and Anisha Chakravorty. "Hyperspectral Image Segmentation using Multi-dimensional Histogram over Principal Component Images." In 2018 International Conference on Advances in Computing, Communication Control and Networking (ICACCCN). IEEE, 2018. http://dx.doi.org/10.1109/icacccn.2018.8748388.

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Zhang, Xiangmin, Steven C. DeJong, Charles R. McKay, and Milan Sonka. "Image segmentation and tissue characterization in three-dimensional intravascular ultrasound images." In Medical Imaging 1997, edited by Kenneth M. Hanson. SPIE, 1997. http://dx.doi.org/10.1117/12.274102.

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Shi, Lijun, Jacqueline Thiesse, Geoffrey McLennan, Eric A. Hoffman, and Joseph M. Reinhardt. "Three-dimensional murine airway segmentation in micro-CT images." In Medical Imaging, edited by Armando Manduca and Xiaoping P. Hu. SPIE, 2007. http://dx.doi.org/10.1117/12.711213.

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Boehm, Guenther, Christian J. Knoll, Vincente Grau Colomer, Mariano L. Alcaniz-Raya, and Salvador E. Albalat. "Three-dimensional segmentation of bone structures in CT images." In Medical Imaging '99, edited by Kenneth M. Hanson. SPIE, 1999. http://dx.doi.org/10.1117/12.348582.

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Ukwatta, E., J. Awad, D. Buchanan, G. Parraga, and A. Fenster. "Three-dimensional semi-automated segmentation of carotid atherosclerosis from three-dimensional ultrasound images." In SPIE Medical Imaging, edited by Bram van Ginneken and Carol L. Novak. SPIE, 2012. http://dx.doi.org/10.1117/12.912365.

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Han, Shuo, Soonam Lee, Alain Chen, et al. "Three Dimensional Nuclei Segmentation and Classification of Fluorescence Microscopy Images." In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI). IEEE, 2020. http://dx.doi.org/10.1109/isbi45749.2020.9098560.

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Savelonas, Michalis, Dimitris Maroulis, and Eleftheria Mylona. "Segmentation of two-dimensional gel electrophoresis images containing overlapping spots." In 2009 9th International Conference on Information Technology and Applications in Biomedicine (ITAB 2009). IEEE, 2009. http://dx.doi.org/10.1109/itab.2009.5394327.

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