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Artykuły w czasopismach na temat "Detection et segmentation des lignes"
Lessard, Claude, i Creutzer Mathurin. "L’évolution du corps enseignant québécois : 1960-1986". Revue des sciences de l'éducation 15, nr 1 (26.11.2009): 43–71. http://dx.doi.org/10.7202/900617ar.
Pełny tekst źródłaÇiftci, Sadettin, i Bahattin Kerem Aydin. "Comment on Lee et al. Accuracy of New Deep Learning Model-Based Segmentation and Key-Point Multi-Detection Method for Ultrasonographic Developmental Dysplasia of the Hip (DDH) Screening. Diagnostics 2021, 11, 1174". Diagnostics 12, nr 7 (18.07.2022): 1738. http://dx.doi.org/10.3390/diagnostics12071738.
Pełny tekst źródłaEl-shazli, Alaa M. Adel, Sherin M. Youssef i Marwa Elshennawy. "COMPUTER-AIDED MODEL FOR BREAST CANCER DETECTION IN MAMMOGRAMS". International Journal of Pharmacy and Pharmaceutical Sciences 8, nr 2 (17.09.2016): 31. http://dx.doi.org/10.22159/ijpps.2016v8s2.15216.
Pełny tekst źródłaNour, Majid, Hakan Öcal, Adi Alhudhaif i Kemal Polat. "Skin Lesion Segmentation Based on Edge Attention Vnet with Balanced Focal Tversky Loss". Mathematical Problems in Engineering 2022 (14.06.2022): 1–10. http://dx.doi.org/10.1155/2022/4677044.
Pełny tekst źródłaChen, Shuo-Tsung, Tzung-Dau Wang, Wen-Jeng Lee, Tsai-Wei Huang, Pei-Kai Hung, Cheng-Yu Wei, Chung-Ming Chen i Woon-Man Kung. "Coronary Arteries Segmentation Based on the 3D Discrete Wavelet Transform and 3D Neutrosophic Transform". BioMed Research International 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/798303.
Pełny tekst źródłaZhong, Johnson. "Analyzing Out-of-Domain Generalization Performance of Pre-Trained Segmentation Models". Network and Communication Technologies 8, nr 1 (16.02.2023): 1. http://dx.doi.org/10.5539/nct.v8n1p1.
Pełny tekst źródłaLefkovits, Szidónia, i László Lefkovits. "U-Net architecture variants for brain tumor segmentation of histogram corrected images". Acta Universitatis Sapientiae, Informatica 14, nr 1 (1.08.2022): 49–74. http://dx.doi.org/10.2478/ausi-2022-0004.
Pełny tekst źródłaLee, Hongseok, Kyungdoc Kim, Guhyun Kang, Kyu-Hwan Jung i Sunyoung S. Lee. "Abstract 1721: Spatial distribution of immune cells as quantitative prognosis indicator in hepatocellular carcinoma". Cancer Research 82, nr 12_Supplement (15.06.2022): 1721. http://dx.doi.org/10.1158/1538-7445.am2022-1721.
Pełny tekst źródłaGujjunoori, Sagar, Madhu Oruganti, N. Aparna, M. Srija i Chaitrali Dangare. "Tracking and Size Estimation of Objects in Motion based on Median of Localized Thresholding". International Journal of Engineering & Technology 7, nr 4.6 (25.09.2018): 78. http://dx.doi.org/10.14419/ijet.v7i4.6.20241.
Pełny tekst źródłaBougrine, Asma, Rachid Harba, Raphael Canals, Roger Ledee, Meryem Jabloun i Alain Villeneuve. "Segmentation of Plantar Foot Thermal Images Using Prior Information". Sensors 22, nr 10 (18.05.2022): 3835. http://dx.doi.org/10.3390/s22103835.
Pełny tekst źródłaRozprawy doktorskie na temat "Detection et segmentation des lignes"
Ouwayed, Nazih. "Segmentation en lignes de documents anciens : applications aux documents arabes". Thesis, Nancy 2, 2010. http://www.theses.fr/2010NAN23001/document.
Pełny tekst źródłaThe indexing of handwritten scanned documents poses the problem of lines segmentation, if it fails, disabling the following steps of words extraction and recognition. In addition, the ancient Arabic documents contain annotations in the margins, often composed of lines obliquely oriented. The detection of these lines is important as the rest and is a major challenge for the indexing of these documents. Thus, the segmentation described in this thesis involves the extraction of multi-oriented lines. For this problem, the bibliography has only rudimentary techniques based essentially on the projection of the document image along one direction, which be failed in the case of multi-oriented documents. Given this lack, we have proposed an adaptive approach that first locates the different orientation zones, then based on each local orientation to extract the lines. During my thesis, i particularly invested on the following points : - Applying an automatic paving using the active contour model (snake). - Preparation the signal of the projection profile by removing all pixels that are not needed in the orientation estimation. Then, implementation of all energy distributions of Cohen's class on the projection profile to find the best distribution that gives the orientation. - Applying some extension rules to find the oriented zones. - Extraction of lines by using an connected components follow-up algorithm. - Separation of overlapped and touched lines using the morphology of Arabic terminal letters
Cousty, Jean. "Lignes de partage des eaux discrètes : théorie et application à la segmentation d'images cardiaques". Phd thesis, Université de Marne la Vallée, 2007. http://tel.archives-ouvertes.fr/tel-00321885.
Pełny tekst źródłaLa ligne de partage des eaux topologique (LPE) étend la notion de clivage aux graphes dont les sommets sont valués et permet de segmenter une image. Nous étendons les propriétés des clivages dans les graphes de fusion aux cas des fonctions et proposons un algorithme de LPE
monotone et linéaire dans les grilles de fusion parfaites. Grâce à la notion de graphe d'arêtes, les propriétés des LPE dans les grilles de fusion parfaites s'étendent aux graphes à arêtes valuées.
Nous étudions en profondeur les LPE dans les graphes à arêtes valuées. Les LPE peuvent y être définies en suivant l'idée intuitive de gouttes d'eau s'écoulant sur un relief topographique. Nous établissons aussi bien la consistance que l'optimalité de cette définition. De plus, nous proposons deux algorithmes linéaires qui, à notre connaissance, sont les plus efficaces pour le calcul des LPE.
En nous reposant sur ces résultats théoriques, nous proposons une méthode et développons un logiciel pour la segmentation du ventricule gauche dans des images cardiaques 3D+t par résonance magnétique. La méthode est quantitativement et qualitativement validée par comparaison avec des segmentations manuelles tracées par deux experts cardiologues.
Odobez, Jean-Marc. "Estimation, detection et segmentation du mouvement : une approche robuste et markovienne". Rennes 1, 1994. http://www.theses.fr/1994REN10207.
Pełny tekst źródłaPENG, ANRONG. "Segmentation statistique non supervisee d'images et detection de contours par filtrage". Compiègne, 1992. http://www.theses.fr/1992COMP0512.
Pełny tekst źródłaMigniot, Cyrille. "Segmentation de personnes dans les images et les vidéos". Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00677592.
Pełny tekst źródłaSekkal, Rafiq. "Techniques visuelles pour la détection et le suivi d’objets 2D". Thesis, Rennes, INSA, 2014. http://www.theses.fr/2014ISAR0032/document.
Pełny tekst źródłaNowadays, image processing remains a very important step in different fields of applications. In an indoor environment, for a navigation system related to a mobile robot (electrical wheelchair), visual information detection and tracking is crucial to perform robotic tasks (localization, planning…). In particular, when considering passing door task, it is essential to be able to detect and track automatically all the doors that belong to the environment. Door detection is not an obvious task: the variations related to the door status (open or closed), their appearance (e.g. same color as the walls) and their relative position to the camera have influence on the results. On the other hand, tasks such as the detection of navigable areas or obstacle avoidance may involve a dedicated semantic representation to interpret the content of the scene. Segmentation techniques are then used to extract pseudosemantic regions based on several criteria (color, gradient, texture...). When adding the temporal dimension, the regions are tracked then using spatiotemporal segmentation algorithms. In this thesis, we first present joint door detection and tracking technique in a corridor environment: based on dedicated geometrical features, the proposed solution offers interesting results. Then, we present an original joint hierarchical and multiresolution segmentation framework able to extract a pseudo-semantic region representation. Finally, this technique is extended to video sequences to allow the tracking of regions along image sequences. Based on contour motion extraction, this solution has shown relevant results that can be successfully applied to corridor videos
LIAO, QINGMIN. "Detection de contours et segmentation d'images : applications a la teledetection et a la biologie marine". Rennes 1, 1994. http://www.theses.fr/1994REN10183.
Pełny tekst źródłaGresson, Régis. "Segmentation et reconstruction tridimensionnelle du foyer de microcalcifications mammaires". Vandoeuvre-les-Nancy, INPL, 1998. http://www.theses.fr/1998INPL108N.
Pełny tekst źródłaSADKI, MUSTAPHA. "Detection et segmentation d'objets d'interet en imagerie 2d et 3d par classification automatique des pixels et optimisation sous contraintes geometriques de contours deformables". Université Louis Pasteur (Strasbourg) (1971-2008), 1997. http://www.theses.fr/1997STR13270.
Pełny tekst źródłaBonakdar, Sakhi Omid. "Segmentation of heterogeneous document images : an approach based on machine learning, connected components analysis, and texture analysis". Phd thesis, Université Paris-Est, 2012. http://tel.archives-ouvertes.fr/tel-00912566.
Pełny tekst źródłaCzęści książek na temat "Detection et segmentation des lignes"
Tripathy, B. K., i P. V. S. S. R. Chandra Mouli. "Graph Based Segmentation of Digital Images". W Handbook of Research on Computational Intelligence for Engineering, Science, and Business, 182–99. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2518-1.ch007.
Pełny tekst źródłaTrubuil, Alain. "Prospects in Bayesian image analysis". W Highly Structured Stochastic Systems, 326–32. Oxford University PressOxford, 2003. http://dx.doi.org/10.1093/oso/9780198510550.003.0031.
Pełny tekst źródłaStreszczenia konferencji na temat "Detection et segmentation des lignes"
Zhu, Donglin, Lei Li, Rui Guo i Shifan Zhan. "Fault Detection by Using Instance Segmentation". W International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21249-ms.
Pełny tekst źródłaWu, Huanyu, Yuan Zou, Qi Zhao, Chi Zhang i Wei Yang. "Micro-CT Characterization of Lunar Regolith Using Machine Learning-Based Segmentation". W 57th U.S. Rock Mechanics/Geomechanics Symposium. ARMA, 2023. http://dx.doi.org/10.56952/arma-2023-0281.
Pełny tekst źródłaAlamdari, Nasim, Nicholas MacKinnon, Fartash Vasefi, Reza Fazel-Rezai, Minhal Alhashim, Alireza Akhbardeh, Daniel L. Farkas i Kouhyar Tavakolian. "Effect of Lesion Segmentation in Melanoma Diagnosis for a Mobile Health Application". W 2017 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/dmd2017-3522.
Pełny tekst źródłaGarcía Contreras, Erika, i Jorge Lira Chávez. "La percepción remota aplicada al análisis urbano-regional de la ciudad de México empleando imágenes ópticas Terra/Aster y Spot5". W International Conference Virtual City and Territory. Mexicali: Universidad Autónoma de Baja California, 2010. http://dx.doi.org/10.5821/ctv.7622.
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