Literatura científica selecionada sobre o tema "Large image processing"
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Artigos de revistas sobre o assunto "Large image processing"
Lee, Youngrim, Wanyong Park, Hyunchun Park e Daesik Shin. "FAST Design for Large-Scale Satellite Image Processing". Journal of the Korea Institute of Military Science and Technology 25, n.º 4 (5 de agosto de 2022): 372–80. http://dx.doi.org/10.9766/kimst.2022.25.4.372.
Texto completo da fontePal, N. R., e J. C. Bezdek. "Complexity reduction for "large image" processing". IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 32, n.º 5 (outubro de 2002): 598–611. http://dx.doi.org/10.1109/tsmcb.2002.1033179.
Texto completo da fonteKhellah, F., P. Fieguth, M. J. Murray e M. Allen. "Statistical processing of large image sequences". IEEE Transactions on Image Processing 14, n.º 1 (janeiro de 2005): 80–93. http://dx.doi.org/10.1109/tip.2004.838703.
Texto completo da fonteTripathi, Rakesh, e Neelesh Gupta. "A Review on Segmentation Techniques in Large-Scale Remote Sensing Images". SMART MOVES JOURNAL IJOSCIENCE 4, n.º 4 (20 de abril de 2018): 7. http://dx.doi.org/10.24113/ijoscience.v4i4.143.
Texto completo da fonteVinichuk, O. N., e V. I. Dravitsa. "Development of Algorithms for Processing Images of Large Volumes". Digital Transformation 28, n.º 2 (2 de setembro de 2022): 52–60. http://dx.doi.org/10.35596/2522-9613-2022-28-2-52-60.
Texto completo da fonteLiu, Zhi-Qiang. "Bayesian Paradigms in Image Processing". International Journal of Pattern Recognition and Artificial Intelligence 11, n.º 01 (fevereiro de 1997): 3–33. http://dx.doi.org/10.1142/s0218001497000020.
Texto completo da fonteShinde, Prof Dyanda. "Air Pollution Checker Using Image Processing". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, n.º 10 (1 de outubro de 2023): 1–11. http://dx.doi.org/10.55041/ijsrem26515.
Texto completo da fonteDong, Lei, Tingtao Zhang, Fangjian Liu, Rui Liu e Hongjian You. "GPU Acceleration for SAR Satellite Image Ortho-Rectification". Remote Sensing 16, n.º 7 (7 de abril de 2024): 1301. http://dx.doi.org/10.3390/rs16071301.
Texto completo da fonteRemondino, F., E. Nocerino, I. Toschi e F. Menna. "A CRITICAL REVIEW OF AUTOMATED PHOTOGRAMMETRIC PROCESSING OF LARGE DATASETS". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W5 (21 de agosto de 2017): 591–99. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w5-591-2017.
Texto completo da fonteKim, Yoon-Ki, e Yongsung Kim. "DiPLIP: Distributed Parallel Processing Platform for Stream Image Processing Based on Deep Learning Model Inference". Electronics 9, n.º 10 (13 de outubro de 2020): 1664. http://dx.doi.org/10.3390/electronics9101664.
Texto completo da fonteTeses / dissertações sobre o assunto "Large image processing"
Le, Riguer E. M. J. "Generic VLSI architectures : chip designs for image processing applications". Thesis, Queen's University Belfast, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.368593.
Texto completo da fonteMcCusker, Sean. "A digital image processing approach to large-scale turbulence studies". Thesis, University of Surrey, 1999. http://epubs.surrey.ac.uk/843989/.
Texto completo da fonteTrotter, John A. "A fault tolerance scheme for large integrated processor arrays". Thesis, University of Oxford, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.276877.
Texto completo da fonteNguyen, Quang Vinh. "Space-efficient visualisation of large hierarchies /". Electronic version, 2005. http://adt.lib.uts.edu.au/public/adt-NTSM20051123.174122/index.html.
Texto completo da fonteHudson, James. "Processing large point cloud data in computer graphics". Connect to this title online, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1054233187.
Texto completo da fonteTitle from first page of PDF file. Document formatted into pages; contains xix, 169 p.; also includes graphics (some col.). Includes bibliographical references (p. 159-169). Available online via OhioLINK's ETD Center
Rose, Tony Gerard. "Large vocabulary semantic analysis for text recognition". Thesis, Nottingham Trent University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.333961.
Texto completo da fonteAli, Faridah M. "Parallel pipelined VLSI arrays for real-time image processing". Diss., Virginia Polytechnic Institute and State University, 1988. http://hdl.handle.net/10919/49914.
Texto completo da fontePh. D.
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Cooper, Lee Alex Donald. "High Performance Image Analysis for Large Histological Datasets". The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250004647.
Texto completo da fonteCarter, Caleb. "High Resolution Visualization of Large Scientific Data Sets Using Tiled Display". Fogler Library, University of Maine, 2007. http://www.library.umaine.edu/theses/pdf/CarterC2007.pdf.
Texto completo da fonteYeung, Henry Wing Fung. "Efficient Deep Neural Network Designs for High Dimensional and Large Volume Image Processing". Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/24336.
Texto completo da fonteLivros sobre o assunto "Large image processing"
J, Offen R., ed. VLSI image processing. London: Collins, 1985.
Encontre o texto completo da fonteJ, Offen R., ed. VLSI image processing. New York: McGraw-Hill, 1985.
Encontre o texto completo da fonteTakao, Nishitani, Ang Peng H e Catthoor Francky, eds. VLSI video/image signal processing. Boston: Kluwer Academic Publishers, 1993.
Encontre o texto completo da fonteJ, Offen R., ed. VLSIimage processing. London: Collins, 1985.
Encontre o texto completo da fonteJonker, Petrus Paulus. Morphological image processing: Architecture and VLSI design. [Deventer?]: Kluwer, 1992.
Encontre o texto completo da fonteP, Pirsch, ed. VLSI implementations for image communications. Amsterdam: Elsevier, 1993.
Encontre o texto completo da fonteEuropean Workshop on 3D Structure from Multiple Images of Large-Scale Environments (2nd 2000 Dublin, Ireland). 3D structure from images - SMILE 2000: Second European Workshop on 3D Structure from Multiple Images of Large-Scale Environments, Dublin, Irleand [i.e. Ireland], July 1-2, 2000 : revised papers. Berlin: Springer, 2001.
Encontre o texto completo da fonteReinhard, Koch, Gool Luc van e European Conference on Computer Vision (5th : 1998 : Freiburg im Breisgau, Germany), eds. 3D structure from multiple images of large-scale environments: European workshop, SMILE '98, Freiburg, Germany, June 6-7, 1998 : proceedings. Berlin: Springer, 1998.
Encontre o texto completo da fonteW, Klein William, e National Institute of Standards and Technology (U.S.), eds. Creating and validating a large image database for METTREC. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1997.
Encontre o texto completo da fonteMoyal, Ami. Phonetic Search Methods for Large Speech Databases. New York, NY: Springer New York, 2013.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Large image processing"
Zhou, Rong, e Liqing Zhang. "Contour-Based Large Scale Image Retrieval". In Neural Information Processing, 565–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24965-5_64.
Texto completo da fonteMarques, Oge, e Gustavo Benvenutti Borba. "Recipe 29: Processing very large images". In Image Processing Recipes in MATLAB®, 223–28. New York: Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003170198-38.
Texto completo da fonteKosydor, Paweł, Ewa Warchala e Adam Piórkowski. "Impact of ICT Infrastructure on the Processing of Large Raster Datasets". In Image Processing and Communications, 134–41. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31254-1_17.
Texto completo da fonteLu, Jun, e Li Zhang. "Cascaded Deep Hashing for Large-Scale Image Retrieval". In Neural Information Processing, 419–29. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04224-0_36.
Texto completo da fonteDelponte, Elisabetta, Francesco Isgrò, Francesca Odone e Alessandro Verri. "Large Baseline Matching of Scale Invariant Features". In Image Analysis and Processing – ICIAP 2005, 794–801. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11553595_97.
Texto completo da fonteŠtajduhar, Ivan, Teo Manojlović, Franko Hržić, Mateja Napravnik, Goran Glavaš, Matija Milanič, Sebastian Tschauner, Mihaela Mamula Saračević e Damir Miletić. "Analysing Large Repositories of Medical Images". In Bioengineering and Biomedical Signal and Image Processing, 179–93. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88163-4_17.
Texto completo da fonteMai, Tien-Dung, Thanh Duc Ngo, Duy-Dinh Le, Duc Anh Duong, Kiem Hoang e Shin’ichi Satoh. "Learning Balanced Trees for Large Scale Image Classification". In Image Analysis and Processing — ICIAP 2015, 3–13. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23234-8_1.
Texto completo da fonteMazurek, Przemysław. "Large LED Displays Panel Control Using Splitted PWM". In Image Processing and Communications Challenges 10, 87–95. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03658-4_11.
Texto completo da fonteSun, Zhanquan, Feng Li e Huifen Huang. "Large Scale Image Classification Based on CNN and Parallel SVM". In Neural Information Processing, 545–55. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70087-8_57.
Texto completo da fonteGrossi, Giuliano, Raffaella Lanzarotti e Jianyi Lin. "A Selection Module for Large-Scale Face Recognition Systems". In Image Analysis and Processing — ICIAP 2015, 529–39. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23234-8_49.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Large image processing"
Cupitt, John, e Kirk Martinez. "VIPS: an image processing system for large images". In Electronic Imaging: Science & Technology, editado por V. Ralph Algazi, Sadayasu Ono e Andrew G. Tescher. SPIE, 1996. http://dx.doi.org/10.1117/12.233043.
Texto completo da fonteHering, Alessa, e Stefan Heldmann. "Unsupervised learning for large motion thoracic CT follow-up registration". In Image Processing, editado por Elsa D. Angelini e Bennett A. Landman. SPIE, 2019. http://dx.doi.org/10.1117/12.2506962.
Texto completo da fonteSoleymani, Farzin, Mohammad Eslami, Tobias Elze, Bernd Bischl e Mina Rezaei. "Deep variational clustering framework for self-labeling large-scale medical images". In Image Processing, editado por Ivana Išgum e Olivier Colliot. SPIE, 2022. http://dx.doi.org/10.1117/12.2613331.
Texto completo da fonteHoffmann, Rolf. "A High Quality Image Stitching Process for Industrial Image Processing and Quality Assurance". In OCM 2021 - 5th International Conference on Optical Characterization of Materials. KIT Scientific Publishin, 2021. http://dx.doi.org/10.58895/ksp/1000128686-18.
Texto completo da fontevan der Zant, Tijn, Lambert Schomaker e Edwin Valentijn. "Large scale parallel document image processing". In Electronic Imaging 2008, editado por Berrin A. Yanikoglu e Kathrin Berkner. SPIE, 2008. http://dx.doi.org/10.1117/12.765482.
Texto completo da fonteBhattacharjee, Shiben, Suryakant Patidar e P. J. Narayanan. "Real-Time Rendering and Manipulation of Large Terrains". In Image Processing (ICVGIP). IEEE, 2008. http://dx.doi.org/10.1109/icvgip.2008.85.
Texto completo da fonteAbidin, Anas Z., Adora M. DSouza e Axel Wismüller. "Detecting connectivity changes in autism spectrum disorder using large-scale Granger causality". In Image Processing, editado por Elsa D. Angelini e Bennett A. Landman. SPIE, 2019. http://dx.doi.org/10.1117/12.2513023.
Texto completo da fonteGao, Yurui, Dylan R. Lawless, Muwei Li, Yu Zhao, Kurt G. Schilling, Lyuan Xu, Andrea T. Shafer et al. "Automatic preprocessing pipeline for white matter functional analyses of large-scale databases". In Image Processing, editado por Ivana Išgum e Olivier Colliot. SPIE, 2023. http://dx.doi.org/10.1117/12.2653132.
Texto completo da fonteGraf, Laura Franziska, Hanna Siebert, Sven Mischkewitz, Ron Keuth e Mattias P. Heinrich. "Highly accurate deep registration networks for large deformation estimation in compression ultrasound". In Image Processing, editado por Ivana Išgum e Olivier Colliot. SPIE, 2023. http://dx.doi.org/10.1117/12.2653870.
Texto completo da fonteNilsback, Maria-Elena, e Andrew Zisserman. "Automated Flower Classification over a Large Number of Classes". In Image Processing (ICVGIP). IEEE, 2008. http://dx.doi.org/10.1109/icvgip.2008.47.
Texto completo da fonteRelatórios de organizações sobre o assunto "Large image processing"
Bhatt, Parth, Curtis Edson e Ann MacLean. Image Processing in Dense Forest Areas using Unmanned Aerial System (UAS). Michigan Technological University, setembro de 2022. http://dx.doi.org/10.37099/mtu.dc.michigantech-p/16366.
Texto completo da fonteDelwiche, Michael, Yael Edan e Yoav Sarig. An Inspection System for Sorting Fruit with Machine Vision. United States Department of Agriculture, março de 1996. http://dx.doi.org/10.32747/1996.7612831.bard.
Texto completo da fonteMcGarrigle, Malachy. Watchpoints for Consideration When Utilising a VDI Network to Teach Archicad BIM Software Within an Educational Programme. Unitec ePress, outubro de 2023. http://dx.doi.org/10.34074/ocds.099.
Texto completo da fonteEngel, Bernard, Yael Edan, James Simon, Hanoch Pasternak e Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, julho de 1996. http://dx.doi.org/10.32747/1996.7613033.bard.
Texto completo da fonteShrestha, Tanuja, Mir A. Matin, Vishwas Chitale e Samuel Thomas. Exploring the potential of deep learning for classifying camera trap data: A case study from Nepal - working paper. International Centre for Integrated Mountain Development (ICIMOD), setembro de 2023. http://dx.doi.org/10.53055/icimod.1016.
Texto completo da fonteAuthor, Unknown. DTRS56-02-T-0005 Digital Mapping of Buried Pipelines with a Dual Array System. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), março de 2005. http://dx.doi.org/10.55274/r0011943.
Texto completo da fonteYan, Yujie, e Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, maio de 2021. http://dx.doi.org/10.17760/d20410114.
Texto completo da fonte