Academic literature on the topic 'Hough's transformation'

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Journal articles on the topic "Hough's transformation"

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DUNG, Le, and Makoto MIZUKAWA. "2P1-G03 Hand feature extraction based on distance transformation and Hough transformation." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2009 (2009): _2P1—G03_1—_2P1—G03_4. http://dx.doi.org/10.1299/jsmermd.2009._2p1-g03_1.

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Колякин, Владислав, Vladislav Kolyakin, Владимир Аверченков, Vladimir Averchenkov, Максим Терехов, and Maksim Terekhov. "METHODS FOR MODELS PARAMETERS ESTIMATE TO SOLVE PROBLEMS ON 3D RECONSTRUCTION OF REAL OBJECTS COMPLEX MODELS." Bulletin of Bryansk state technical university 2016, no. 3 (2016): 233–42. http://dx.doi.org/10.12737/22120.

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Virtual threedimensional (3 D) models of complex objects are used in many fields of science and engineering, such as architecture, industry, medicine, robotics. Besides, 3D models are used in geoinformation systems, computer games, virtual and supplemented reality and so on. Three dimensional models can be formed in dif-ferent ways, one of which consists in 3 D reconstruc-tion. One of the stages of the 3 D reconstruction of complex models of real objects is a definition of the mathematical models of geometric primitives emphasized on the image. One of the ways for the estimate of model paramet
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DAI Qin, 代勤, 王延杰 WANG Yan-jie, and 韩广良 HAN Guang-liang. "Perspective Image Rectification Based on Improved Hough Transformation and Perspective Transformation." Chinese Journal of Liquid Crystals and Displays 27, no. 4 (2012): 552–56. http://dx.doi.org/10.3788/yjyxs20122704.0552.

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Kang, Chee-Woo, Rae-Hong Park, and Kwae-Hi Lee. "Extraction of straight line segments using rotation transformation: generalized hough transformation." Pattern Recognition 24, no. 7 (1991): 633–41. http://dx.doi.org/10.1016/0031-3203(91)90030-9.

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Liu, Fei, Wataru Ohyama, Tetsushi Wakabayashi, and Fumitaka Kimura. "Cadastral Map Assembling Using Generalized Hough Transformation." IEEJ Transactions on Electronics, Information and Systems 127, no. 11 (2007): 1894–901. http://dx.doi.org/10.1541/ieejeiss.127.1894.

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Sreedevi, M., and P. Jeno Paul. "An Efficient Image Segmentation Using Hough Transformation." Asian Journal of Information Technology 10, no. 3 (2011): 108–12. http://dx.doi.org/10.3923/ajit.2011.108.112.

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Jinxue Sui, Li Yang, and Zhen Hua. "Shape Detection based on Improved Hough Transformation." International Journal of Digital Content Technology and its Applications 5, no. 3 (2011): 245–54. http://dx.doi.org/10.4156/jdcta.vol5.issue3.25.

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Junji, Ikuo, Hideo, and Toshinori. "Highly accurate segment detection using hough transformation." Systems and Computers in Japan 21, no. 1 (1990): 68–77. http://dx.doi.org/10.1002/scj.4690210107.

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Novović, Lena, Vladimir Ostojić, Đorđe Starčević, and Vladimir Petrović. "Radiography calibration marker detection using Hough transformation." Telfor Journal 11, no. 1 (2019): 30–34. http://dx.doi.org/10.5937/telfor1901030n.

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Thomae, Nico, Kai-Uwe Plagwitz, Peter Husar, and Günter Henning. "HOUGH-TRANSFORMATION ZUR BILDVERARBEITUNG BEI DER BLICKRICHTUNGSBESTIMMUNG." Biomedizinische Technik/Biomedical Engineering 47, s1b (2002): 636–38. http://dx.doi.org/10.1515/bmte.2002.47.s1b.636.

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Dissertations / Theses on the topic "Hough's transformation"

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Timoumi, Fidha. "Aspects théoriques et numériques de la transformation de Hough en traitement des images." Paris 11, 1985. http://www.theses.fr/1985PA112151.

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Dans cette thèse, nous étudions divers aspects de la transformation de Hough. Nous nous intéressons en particulier aux coûts mémoire et en temps de calcul, ainsi qu’au problème de la discrétisation dans l’espace des paramètres. Ces problèmes sont explorés dans le cadre de l’utilisation de la transformation de Hough pour la détection d’alignements et de transformations planes entre figures. Dans ce cadre, nous montrons que le coût mémoire peut être minimisé en choisissant convenablement un repère qui ne dépend que de certains paramètres intrinsèques à la figure étudiée : boule de rayon minimum
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Štencel, Jakub. "Počítačová analýza obrazu z metody LBIC." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218414.

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This thesis is concerned with image picture analysis, especially with images obtained by diagnostic LBIC method. The individual defects occuring on solar cells are described in theoretical part, including methods which serve for making referential image. Furthermore, the creation of difference image is analysed, from whom the interferences will be evaluated. The aim of practical part is to focus on generation of algorithms which investigate the defects, and the description of application for program control is described in conclusion.
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Ku, Kuo-Lung. "Algorithms and architectures for the Hough transformation /." Thesis, Connect to this title online; UW restricted, 1987. http://hdl.handle.net/1773/5909.

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Kim, Jongwoo. "A robust hough transform based on validity /." free to MU campus, to others for purchase, 1997. http://wwwlib.umi.com/cr/mo/fullcit?p9842545.

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Wang, Shiliang. "Application of Hough transformation to detect ovulatory patterns in cervical mucus images." PDXScholar, 1989. https://pdxscholar.library.pdx.edu/open_access_etds/3989.

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A microcomputer system called ovulocomputer is proposed. The system is used to predict and detect ovulation of women. It will use image processing and analysis, pattern recognition theory, spectrophotometry, ionometry and conductometry to measure various physical and chemical properties of cervical mucus that are related to blood hormone levels. The functions and characteristics of cervical mucus are introduced in this thesis. Among them, the identification of cervical mucus images, named the ferning test, and related features, are well described. A new idea, called ferning test automation, wh
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Eriksson, Edvin. "Coordinate conversion for the Hough transform." Thesis, Uppsala universitet, Högenergifysik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-448782.

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This thesis attempts to develop a conversion algorithm between local coordinates in constituent detector modules and global coordinates encompassing the whole detector structure in a generic detector. The thesis is a part of preparatory work for studying the Hough Transform as a means of track reconstruction in the level-1 hardware trigger in the upgraded trigger and data acquisition (TDAQ) system in the phase 2 upgrade of the ATLAS detector at CERN. The upgrades being made are to withstand much more extreme conditions that come with the high-Luminosity Large Hadron Collider (HL-LHC). Two algo
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Bavikadi, Sathwika, and Venkata Bharath Botta. "Estimation and Correction of the Distortion in Forensic Image due to Rotation of the Photo Camera." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15965.

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Images, in contrast to text, represent an effective and natural communication media for humans, due to their immediacy and the easy way to understand the image content. Shape recognition and pattern recognition are one of the most important tasks in the image processing. Crime scene photos should always be in focus and there should always be a ruler be present, this will allow the investigators the ability to resize the image to accurately reconstruct the scene. Therefore, the camera must be on a grounded platform such as tripod. Due to the rotation of the camera around the camera center there
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McAbee, Ashley S. M. "Traffic pattern detection using the Hough transformation for anomaly detection to improve maritime domain awareness." Thesis, Monterey, California: Naval Postgraduate School, 2013. http://hdl.handle.net/10945/38977.

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Approved for public release; distribution is unlimited.<br>Techniques for anomaly detection in the maritime domain by extracting traffic patterns from ship position data to generate atlases of expected ocean travel are developed in this thesis. An archive of historical data is used to develop a traffic density grid. The Hough transformation is used to extract linear patterns of elevated density from the traffic density grid, which can be considered the highways of the oceans. These highways collectively create an atlas that is used to define geographical regions of expected ship locations. Shi
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Zerr, Benoît. "Calcul rapide de la transformation de Hough : approche optique et numérique, étude comparative et critiques." Mulhouse, 1989. http://www.theses.fr/1989MULH0131.

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La transformation de Hough est un outil efficace de détection et de caractérisation des formes géométriques. Malheureusement, son emploi est restreint du fait d'un temps de calcul très important sur calculateur conventionnel. Après avoir décrit la transformation de Hough (chapitre 1) et ses applications (chapitre 2), nous définissons deux méthodes permettant de la calculer rapidement. Dans une première approche (chapitre 3) nous définissons, simulons et expérimentons un processeur optique fondé sur les propriétés géométriques de la lentille cylindrique. Par l'étude des caractéristiques de son
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Bolland, Patrice. "Traitements d'images ultrasonores : étude et application de la transformation de Hough aux échos de diffraction." Dijon, 1999. http://www.theses.fr/1999DIJOS074.

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Cette thèse est consacrée à une étude de détection, caractérisation et localisation de défauts en imagerie ultrasonore tridimensionnelle. Nous introduisons dans la première partie le contrôle non destructif par ultrasons de pièces métalliques. Nous décrivons les techniques existantes utilisées pour détecter, caractériser les défauts et les principes d'acquisition ultrasonore. Nous détaillons plus particulièrement la technique TOFD basée sur une exploitation des ondes diffractées par les fissures. La seconde partie présente le problème de la reconnaissance de formes en traitement d'images. Une
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Book chapters on the topic "Hough's transformation"

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Bässmann, Henning, and Philipp W. Besslich. "Hough-Transformation." In Bildverarbeitung Ad Oculos. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-42589-3_7.

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Bässmann, Henning, and Jutta Kreyss. "Hough-Transformation." In Bildverarbeitung Ad Oculos. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-662-06048-3_9.

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Lehmann, Thomas, Walter Oberschelp, Erich Pelikan, and Rudolf Repges. "Die Hough-Transformation." In Bildverarbeitung für die Medizin. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60487-4_13.

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Dorkel, Serge, and Dietwald Schuster. "Linienerkennung mit einer modifizierten Hough-Transformation." In Mustererkennung 1992. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-77785-1_36.

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Langwald, Jörg, and Gerd Hirzinger. "Robuste Echtzeitverfolgung kreisförmiger Objektmerkmale mittels Hough-Transformation." In Informatik aktuell. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60893-3_55.

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Lehmann, T., A. Kaupp, D. Meyer-Ebrecht, and R. Effert. "Automatische Schielwinkelmessung durch Hough-Transformation und Kovarianzfilterung." In Informatik aktuell. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-78546-7_28.

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Liu, Fei, Wataru Ohyama, Tetsushi Wakabayashi, and Fumitaka Kimura. "Automatic Assembling of Cadastral Maps Based on Generalized Hough Transformation." In Document Analysis Systems VII. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11669487_53.

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Frühwirth, Rudolf, and Are Strandlie. "Track Finding." In Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-65771-0_5.

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AbstractThere is no systematic theory of track finding yet. Therefore, the first section of this chapter presents a list of basic techniques which have been successfully used, stand-alone or in combination, in past and present experiments. Among them are the conformal transformation, the Hough and the Legendre transform, cellular automata and neural networks, pattern matching, and track following by the combinatorial Kalman filter. The following section gives a brief excursion into online or real-time track finding in the collider experiments CDF, ATLAS, and CMS. As track finding in most cases delivers some candidates that do not correspond to actual particle tracks, the concluding section discusses methods for an efficient selection of valid candidates.
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Makandar, Aziz, and Daneshwari Mulimani. "Video Annotation and Player Classification Using Hough-Grid Transformation (HGT) Method." In Communications in Computer and Information Science. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9181-1_30.

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Liu, Lizhuang, Jianzhu Cui, and Jing Li. "Lane Mark Detection Based on Improved Hough Transformation for Vehicle Electronic Technology." In Advances in Mechanical and Electronic Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31507-7_94.

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Conference papers on the topic "Hough's transformation"

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Xuan Dai Pham, Jung Uk Cho, and Jae Wook Jeon. "Background compensation using Hough transformation." In 2008 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2008. http://dx.doi.org/10.1109/robot.2008.4543571.

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Ralevic, Nebojsa M., Slobodan Drazic, and Radovan Obradovic. "The Hough transformation of rectangle." In 2008 6th International Symposium on Intelligent Systems and Informatics (SISY 2008). IEEE, 2008. http://dx.doi.org/10.1109/sisy.2008.4664906.

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Oruganti, Niveditha, and Tripty Singh. "Modified Hough Transformation for ROI." In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT). IEEE, 2020. http://dx.doi.org/10.1109/icccnt49239.2020.9225563.

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Okamoto, Yuki, Isamu Matsunami, and Akihiro Kajiwara. "Moving vehicle discrimination using Hough transformation." In 2011 IEEE Radio and Wireless Symposium (RWS). IEEE, 2011. http://dx.doi.org/10.1109/rws.2011.5725462.

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Gao, Xin, and Qi-jun Liu. "DEMONgram Enhancement Based on Hough Transformation." In 2010 International Conference on Electrical and Control Engineering (ICECE). IEEE, 2010. http://dx.doi.org/10.1109/icece.2010.1236.

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Maitra, Deeptaroop, Rajan, and Niharika Singh. "Seismic data interpretation using hough transformation technique." In 2015 1st International Conference on Next Generation Computing Technologies (NGCT). IEEE, 2015. http://dx.doi.org/10.1109/ngct.2015.7375187.

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Chen, Chao, and Masayuki Nakajima. "Underwater cable automatic recognition using Hough transformation." In IS&T/SPIE's Symposium on Electronic Imaging: Science & Technology, edited by Frederick Y. Wu and Stephen S. Wilson. SPIE, 1995. http://dx.doi.org/10.1117/12.205529.

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Teng, Zhu, Jeong-Hyun Kim, and Dong-Joong Kang. "Ellipse detection using an improved randomized Hough transformation." In IS&T/SPIE Electronic Imaging, edited by Jaakko T. Astola and Karen O. Egiazarian. SPIE, 2011. http://dx.doi.org/10.1117/12.872202.

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Ming Zhang. "On the discretization of parameter domain in Hough transformation." In Proceedings of 13th International Conference on Pattern Recognition. IEEE, 1996. http://dx.doi.org/10.1109/icpr.1996.546880.

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Huang, Qin, Xiaofeng Gu, Jianping Li, Jianming Liao, and Huamin Liu. "A Fast Iris Localization Algorithm Based on Hough Transformation." In Proceedings of the International Conference. World Scientific Publishing Company, 2008. http://dx.doi.org/10.1142/9789812799524_0066.

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Reports on the topic "Hough's transformation"

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Wang, Shiliang. Application of Hough transformation to detect ovulatory patterns in cervical mucus images. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.5873.

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