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You searched for subject:(superpixels). Showing records 1 – 30 of 33 total matches.

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1. Wang, Xiaofang. Graph based approaches for image segmentation and object tracking : Méthodes de graphe pour la segmentation d'images et le suivi d'objets dynamiques.

Degree: Docteur es, Informatique, 2015, Ecully, Ecole centrale de Lyon

 Cette thèse est proposée en deux parties. Une première partie se concentre sur la segmentation d’image. C’est en effet un problème fondamental pour la vision… (more)

Subjects/Keywords: Segmentation d'image; Méthodes de graphes; Superpixels; Image segmentation; Graph based methods; Superpixels

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, X. (2015). Graph based approaches for image segmentation and object tracking : Méthodes de graphe pour la segmentation d'images et le suivi d'objets dynamiques. (Doctoral Dissertation). Ecully, Ecole centrale de Lyon. Retrieved from http://www.theses.fr/2015ECDL0007

Chicago Manual of Style (16th Edition):

Wang, Xiaofang. “Graph based approaches for image segmentation and object tracking : Méthodes de graphe pour la segmentation d'images et le suivi d'objets dynamiques.” 2015. Doctoral Dissertation, Ecully, Ecole centrale de Lyon. Accessed April 22, 2021. http://www.theses.fr/2015ECDL0007.

MLA Handbook (7th Edition):

Wang, Xiaofang. “Graph based approaches for image segmentation and object tracking : Méthodes de graphe pour la segmentation d'images et le suivi d'objets dynamiques.” 2015. Web. 22 Apr 2021.

Vancouver:

Wang X. Graph based approaches for image segmentation and object tracking : Méthodes de graphe pour la segmentation d'images et le suivi d'objets dynamiques. [Internet] [Doctoral dissertation]. Ecully, Ecole centrale de Lyon; 2015. [cited 2021 Apr 22]. Available from: http://www.theses.fr/2015ECDL0007.

Council of Science Editors:

Wang X. Graph based approaches for image segmentation and object tracking : Méthodes de graphe pour la segmentation d'images et le suivi d'objets dynamiques. [Doctoral Dissertation]. Ecully, Ecole centrale de Lyon; 2015. Available from: http://www.theses.fr/2015ECDL0007

2. Paulo Duarte Barbieri. Explorando superpixels para a segmentação semiautomática de imagens médicas para recuperação por conteúdo.

Degree: 2016, University of São Paulo

Nesse trabalho foi desenvolvido o método VBSeg, um método de segmentação semiautomático de corpos vertebrais, que utiliza superpixels para aumentar a eficiência de técnicas de… (more)

Subjects/Keywords: Corpos vertebrais; Imagens médicas; Segmentação; Superpixels; Medical images; Segmentation; Superpixels; Vertebral bodys

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APA (6th Edition):

Barbieri, P. D. (2016). Explorando superpixels para a segmentação semiautomática de imagens médicas para recuperação por conteúdo. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-17112016-101608/

Chicago Manual of Style (16th Edition):

Barbieri, Paulo Duarte. “Explorando superpixels para a segmentação semiautomática de imagens médicas para recuperação por conteúdo.” 2016. Masters Thesis, University of São Paulo. Accessed April 22, 2021. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-17112016-101608/.

MLA Handbook (7th Edition):

Barbieri, Paulo Duarte. “Explorando superpixels para a segmentação semiautomática de imagens médicas para recuperação por conteúdo.” 2016. Web. 22 Apr 2021.

Vancouver:

Barbieri PD. Explorando superpixels para a segmentação semiautomática de imagens médicas para recuperação por conteúdo. [Internet] [Masters thesis]. University of São Paulo; 2016. [cited 2021 Apr 22]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-17112016-101608/.

Council of Science Editors:

Barbieri PD. Explorando superpixels para a segmentação semiautomática de imagens médicas para recuperação por conteúdo. [Masters Thesis]. University of São Paulo; 2016. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-17112016-101608/

3. Rosales, Dionicio Ángel Vásquez. Stochastic methods for image segmentation based on stochastic superpixels.

Degree: 2020, Brazil

 A geração de superpixels é uma das etapas de pré-processamento mais usadas para tarefas de visão computacional, desde a segmentação de imagens até a detecção… (more)

Subjects/Keywords: Informática; Superpixels; Stochastic graph contraction; Superpixels graph adjacency; Multi-scale segmentation; Hierarchical representation; Eigen-decomposition

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APA (6th Edition):

Rosales, D. . V. (2020). Stochastic methods for image segmentation based on stochastic superpixels. (Doctoral Dissertation). Brazil. Retrieved from http://hdl.handle.net/10183/214207

Chicago Manual of Style (16th Edition):

Rosales, Dionicio Ángel Vásquez. “Stochastic methods for image segmentation based on stochastic superpixels.” 2020. Doctoral Dissertation, Brazil. Accessed April 22, 2021. http://hdl.handle.net/10183/214207.

MLA Handbook (7th Edition):

Rosales, Dionicio Ángel Vásquez. “Stochastic methods for image segmentation based on stochastic superpixels.” 2020. Web. 22 Apr 2021.

Vancouver:

Rosales DV. Stochastic methods for image segmentation based on stochastic superpixels. [Internet] [Doctoral dissertation]. Brazil; 2020. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/10183/214207.

Council of Science Editors:

Rosales DV. Stochastic methods for image segmentation based on stochastic superpixels. [Doctoral Dissertation]. Brazil; 2020. Available from: http://hdl.handle.net/10183/214207

4. Machairas, Vaïa. Waterpixels et Leur Application à l'Apprentissage Statistique de la Segmentation : Waterpixels and their Application to Image Segmentation Learning.

Degree: Docteur es, Morphologie mathématique, 2016, Paris Sciences et Lettres

L’objectif de ces travaux est de fournir une méthode de segmentation sémantique qui soit générale et automatique, c’est-à-dire une méthode qui puisse s’adapter par elle-même… (more)

Subjects/Keywords: Segmentation; Morphologie mathématique; Apprentissage statistique; Superpixels; Ligne de partage des eaux; Segmentation; Mathematical morphology; Machine learning; Superpixels; Watershed; 621

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APA (6th Edition):

Machairas, V. (2016). Waterpixels et Leur Application à l'Apprentissage Statistique de la Segmentation : Waterpixels and their Application to Image Segmentation Learning. (Doctoral Dissertation). Paris Sciences et Lettres. Retrieved from http://www.theses.fr/2016PSLEM099

Chicago Manual of Style (16th Edition):

Machairas, Vaïa. “Waterpixels et Leur Application à l'Apprentissage Statistique de la Segmentation : Waterpixels and their Application to Image Segmentation Learning.” 2016. Doctoral Dissertation, Paris Sciences et Lettres. Accessed April 22, 2021. http://www.theses.fr/2016PSLEM099.

MLA Handbook (7th Edition):

Machairas, Vaïa. “Waterpixels et Leur Application à l'Apprentissage Statistique de la Segmentation : Waterpixels and their Application to Image Segmentation Learning.” 2016. Web. 22 Apr 2021.

Vancouver:

Machairas V. Waterpixels et Leur Application à l'Apprentissage Statistique de la Segmentation : Waterpixels and their Application to Image Segmentation Learning. [Internet] [Doctoral dissertation]. Paris Sciences et Lettres; 2016. [cited 2021 Apr 22]. Available from: http://www.theses.fr/2016PSLEM099.

Council of Science Editors:

Machairas V. Waterpixels et Leur Application à l'Apprentissage Statistique de la Segmentation : Waterpixels and their Application to Image Segmentation Learning. [Doctoral Dissertation]. Paris Sciences et Lettres; 2016. Available from: http://www.theses.fr/2016PSLEM099

5. Mathieu, Bérangère. Segmentation interactive multiclasse d'images par classification de superpixels et optimisation dans un graphe de facteurs : Interactive multi-class image segmentation using superpixel classification and factor graph-based optimisation.

Degree: Docteur es, Image, information, hypermedia, 2017, Université Toulouse III – Paul Sabatier

 La segmentation est l'un des principaux thèmes du domaine de l'analyse d'images. Segmenter une image consiste à trouver une partition constituée de régions, c'est-à-dire d'ensembles… (more)

Subjects/Keywords: Segmentation; Segmentation interactive; Sur-segmentation; Superpixels; SVM; Graphe de facteurs; Segmentation; Interactive segmentation; Over-segmentation; Superpixels; SVM; Factor graph

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APA (6th Edition):

Mathieu, B. (2017). Segmentation interactive multiclasse d'images par classification de superpixels et optimisation dans un graphe de facteurs : Interactive multi-class image segmentation using superpixel classification and factor graph-based optimisation. (Doctoral Dissertation). Université Toulouse III – Paul Sabatier. Retrieved from http://www.theses.fr/2017TOU30290

Chicago Manual of Style (16th Edition):

Mathieu, Bérangère. “Segmentation interactive multiclasse d'images par classification de superpixels et optimisation dans un graphe de facteurs : Interactive multi-class image segmentation using superpixel classification and factor graph-based optimisation.” 2017. Doctoral Dissertation, Université Toulouse III – Paul Sabatier. Accessed April 22, 2021. http://www.theses.fr/2017TOU30290.

MLA Handbook (7th Edition):

Mathieu, Bérangère. “Segmentation interactive multiclasse d'images par classification de superpixels et optimisation dans un graphe de facteurs : Interactive multi-class image segmentation using superpixel classification and factor graph-based optimisation.” 2017. Web. 22 Apr 2021.

Vancouver:

Mathieu B. Segmentation interactive multiclasse d'images par classification de superpixels et optimisation dans un graphe de facteurs : Interactive multi-class image segmentation using superpixel classification and factor graph-based optimisation. [Internet] [Doctoral dissertation]. Université Toulouse III – Paul Sabatier; 2017. [cited 2021 Apr 22]. Available from: http://www.theses.fr/2017TOU30290.

Council of Science Editors:

Mathieu B. Segmentation interactive multiclasse d'images par classification de superpixels et optimisation dans un graphe de facteurs : Interactive multi-class image segmentation using superpixel classification and factor graph-based optimisation. [Doctoral Dissertation]. Université Toulouse III – Paul Sabatier; 2017. Available from: http://www.theses.fr/2017TOU30290


University of Oxford

6. Zhou, Felix. Phenotyping cellular motion.

Degree: PhD, 2017, University of Oxford

 In the development of multicellular organisms, tissue development and homeostasis require coordinated cellular motion. For example, in conditions such as wound healing, immune and epithelial… (more)

Subjects/Keywords: 006.3; Computational biology; Machine learning; superpixels; temporal dynamic graphs; collective motion

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APA (6th Edition):

Zhou, F. (2017). Phenotyping cellular motion. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:9fb6a57d-2e16-43c9-92e6-895330353e51 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748838

Chicago Manual of Style (16th Edition):

Zhou, Felix. “Phenotyping cellular motion.” 2017. Doctoral Dissertation, University of Oxford. Accessed April 22, 2021. http://ora.ox.ac.uk/objects/uuid:9fb6a57d-2e16-43c9-92e6-895330353e51 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748838.

MLA Handbook (7th Edition):

Zhou, Felix. “Phenotyping cellular motion.” 2017. Web. 22 Apr 2021.

Vancouver:

Zhou F. Phenotyping cellular motion. [Internet] [Doctoral dissertation]. University of Oxford; 2017. [cited 2021 Apr 22]. Available from: http://ora.ox.ac.uk/objects/uuid:9fb6a57d-2e16-43c9-92e6-895330353e51 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748838.

Council of Science Editors:

Zhou F. Phenotyping cellular motion. [Doctoral Dissertation]. University of Oxford; 2017. Available from: http://ora.ox.ac.uk/objects/uuid:9fb6a57d-2e16-43c9-92e6-895330353e51 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.748838

7. Ringqvist, Sanna. Classification of terrain using superpixel segmentation and supervised learning.

Degree: The Institute of Technology, 2014, Linköping UniversityLinköping University

  The usage of 3D-modeling is expanding rapidly. Modeling from aerial imagery has become very popular due to its increasing number of both civilian and… (more)

Subjects/Keywords: Segmentation; Superpixels; Features; Classification; Machine learning; Random forest

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APA (6th Edition):

Ringqvist, S. (2014). Classification of terrain using superpixel segmentation and supervised learning. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112511

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ringqvist, Sanna. “Classification of terrain using superpixel segmentation and supervised learning.” 2014. Thesis, Linköping UniversityLinköping University. Accessed April 22, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112511.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ringqvist, Sanna. “Classification of terrain using superpixel segmentation and supervised learning.” 2014. Web. 22 Apr 2021.

Vancouver:

Ringqvist S. Classification of terrain using superpixel segmentation and supervised learning. [Internet] [Thesis]. Linköping UniversityLinköping University; 2014. [cited 2021 Apr 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112511.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ringqvist S. Classification of terrain using superpixel segmentation and supervised learning. [Thesis]. Linköping UniversityLinköping University; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112511

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Carel, Elodie. Segmentation de documents administratifs en couches couleur : Segmentation of administrative document images into color layers.

Degree: Docteur es, Informatique et applications, 2015, La Rochelle

Les entreprises doivent traiter quotidiennement de gros volumes de documents papiers de toutes sortes. Automatisation, traçabilité, alimentation de systèmes d’informations, réduction des coûts et des… (more)

Subjects/Keywords: Document administratif; Couleur; Quantification couleur; Segmentation non-supervisée; Couche couleur; Superpixels; Analyse multi-résolutions; Administrative document; Color; Color quantization; Unsupervised segmentation; Color layer; Superpixels; Multiresolution analysis

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APA (6th Edition):

Carel, E. (2015). Segmentation de documents administratifs en couches couleur : Segmentation of administrative document images into color layers. (Doctoral Dissertation). La Rochelle. Retrieved from http://www.theses.fr/2015LAROS014

Chicago Manual of Style (16th Edition):

Carel, Elodie. “Segmentation de documents administratifs en couches couleur : Segmentation of administrative document images into color layers.” 2015. Doctoral Dissertation, La Rochelle. Accessed April 22, 2021. http://www.theses.fr/2015LAROS014.

MLA Handbook (7th Edition):

Carel, Elodie. “Segmentation de documents administratifs en couches couleur : Segmentation of administrative document images into color layers.” 2015. Web. 22 Apr 2021.

Vancouver:

Carel E. Segmentation de documents administratifs en couches couleur : Segmentation of administrative document images into color layers. [Internet] [Doctoral dissertation]. La Rochelle; 2015. [cited 2021 Apr 22]. Available from: http://www.theses.fr/2015LAROS014.

Council of Science Editors:

Carel E. Segmentation de documents administratifs en couches couleur : Segmentation of administrative document images into color layers. [Doctoral Dissertation]. La Rochelle; 2015. Available from: http://www.theses.fr/2015LAROS014


INP Toulouse

9. Bauda, Marie-Anne. Compréhension de scènes urbaines par combinaison d'information 2D/3D : Urban scenes understanding by combining 2D/3D information.

Degree: Docteur es, Image, Information et Hypermédia, 2016, INP Toulouse

Cette thèse traite du problème de segmentation sémantique d'une séquence d'images calibrées acquises dans un environnement urbain. Ce problème consiste, plus précisément, à partitionner chaque… (more)

Subjects/Keywords: Segmentation sémantique; Superpixels; Multi-vues; Mesures de cohérence photométrique; Planéité et homographie; Semantic segmentation; Superpixels; Multi-view; Photo-consistency measure; Flatness and homography

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APA (6th Edition):

Bauda, M. (2016). Compréhension de scènes urbaines par combinaison d'information 2D/3D : Urban scenes understanding by combining 2D/3D information. (Doctoral Dissertation). INP Toulouse. Retrieved from http://www.theses.fr/2016INPT0051

Chicago Manual of Style (16th Edition):

Bauda, Marie-Anne. “Compréhension de scènes urbaines par combinaison d'information 2D/3D : Urban scenes understanding by combining 2D/3D information.” 2016. Doctoral Dissertation, INP Toulouse. Accessed April 22, 2021. http://www.theses.fr/2016INPT0051.

MLA Handbook (7th Edition):

Bauda, Marie-Anne. “Compréhension de scènes urbaines par combinaison d'information 2D/3D : Urban scenes understanding by combining 2D/3D information.” 2016. Web. 22 Apr 2021.

Vancouver:

Bauda M. Compréhension de scènes urbaines par combinaison d'information 2D/3D : Urban scenes understanding by combining 2D/3D information. [Internet] [Doctoral dissertation]. INP Toulouse; 2016. [cited 2021 Apr 22]. Available from: http://www.theses.fr/2016INPT0051.

Council of Science Editors:

Bauda M. Compréhension de scènes urbaines par combinaison d'information 2D/3D : Urban scenes understanding by combining 2D/3D information. [Doctoral Dissertation]. INP Toulouse; 2016. Available from: http://www.theses.fr/2016INPT0051

10. Guinin, Maxime. Segmentation 3D des organes à risque du tronc masculin à partir d'images anatomiques TDM et IRM à l'aide de méthodes hybrides : 3D segmentation of organs at risk of the male trunk from anatomical TDM and MRI images by means of hybrid methods.

Degree: Docteur es, Informatique, 2017, Normandie

Le cancer de la prostate est une cause majeure de décès dans le monde. La radiothérapie externe est une des techniques utilisée pour traiter ce… (more)

Subjects/Keywords: Dir.sciences et technologies de l'information et de la communication; Segmentation; Organes à risque; Prostate; Radiothérapie; Superpixels; Multi-atlas; Parcimonie; Segmentation; Organ at risk; Prostate; Radiotherapy; Superpixels; Multi-atlas; Sparse; 006.6

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APA (6th Edition):

Guinin, M. (2017). Segmentation 3D des organes à risque du tronc masculin à partir d'images anatomiques TDM et IRM à l'aide de méthodes hybrides : 3D segmentation of organs at risk of the male trunk from anatomical TDM and MRI images by means of hybrid methods. (Doctoral Dissertation). Normandie. Retrieved from http://www.theses.fr/2017NORMR019

Chicago Manual of Style (16th Edition):

Guinin, Maxime. “Segmentation 3D des organes à risque du tronc masculin à partir d'images anatomiques TDM et IRM à l'aide de méthodes hybrides : 3D segmentation of organs at risk of the male trunk from anatomical TDM and MRI images by means of hybrid methods.” 2017. Doctoral Dissertation, Normandie. Accessed April 22, 2021. http://www.theses.fr/2017NORMR019.

MLA Handbook (7th Edition):

Guinin, Maxime. “Segmentation 3D des organes à risque du tronc masculin à partir d'images anatomiques TDM et IRM à l'aide de méthodes hybrides : 3D segmentation of organs at risk of the male trunk from anatomical TDM and MRI images by means of hybrid methods.” 2017. Web. 22 Apr 2021.

Vancouver:

Guinin M. Segmentation 3D des organes à risque du tronc masculin à partir d'images anatomiques TDM et IRM à l'aide de méthodes hybrides : 3D segmentation of organs at risk of the male trunk from anatomical TDM and MRI images by means of hybrid methods. [Internet] [Doctoral dissertation]. Normandie; 2017. [cited 2021 Apr 22]. Available from: http://www.theses.fr/2017NORMR019.

Council of Science Editors:

Guinin M. Segmentation 3D des organes à risque du tronc masculin à partir d'images anatomiques TDM et IRM à l'aide de méthodes hybrides : 3D segmentation of organs at risk of the male trunk from anatomical TDM and MRI images by means of hybrid methods. [Doctoral Dissertation]. Normandie; 2017. Available from: http://www.theses.fr/2017NORMR019

11. Chaibou Salaou, Mahaman Sani. Segmentation d'image par intégration itérative de connaissances : Image segmentation by iterative knowledge integration.

Degree: Docteur es, Signal, Image, Vision, 2019, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire

 Le traitement d’images est un axe de recherche très actif depuis des années. L’interprétation des images constitue une de ses branches les plus importantes de… (more)

Subjects/Keywords: Image segmentation; Superpixels; Mesure de similarité; Descripteurs contextuels; Descripteurs multi-niveaux; Forêts aléatoires; Image segmentation; Superpixels; Similarity measure; Region-growing; Contextual features; Multi-level features; Artificial learning; Random forests; 620

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APA (6th Edition):

Chaibou Salaou, M. S. (2019). Segmentation d'image par intégration itérative de connaissances : Image segmentation by iterative knowledge integration. (Doctoral Dissertation). Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire. Retrieved from http://www.theses.fr/2019IMTA0140

Chicago Manual of Style (16th Edition):

Chaibou Salaou, Mahaman Sani. “Segmentation d'image par intégration itérative de connaissances : Image segmentation by iterative knowledge integration.” 2019. Doctoral Dissertation, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire. Accessed April 22, 2021. http://www.theses.fr/2019IMTA0140.

MLA Handbook (7th Edition):

Chaibou Salaou, Mahaman Sani. “Segmentation d'image par intégration itérative de connaissances : Image segmentation by iterative knowledge integration.” 2019. Web. 22 Apr 2021.

Vancouver:

Chaibou Salaou MS. Segmentation d'image par intégration itérative de connaissances : Image segmentation by iterative knowledge integration. [Internet] [Doctoral dissertation]. Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire; 2019. [cited 2021 Apr 22]. Available from: http://www.theses.fr/2019IMTA0140.

Council of Science Editors:

Chaibou Salaou MS. Segmentation d'image par intégration itérative de connaissances : Image segmentation by iterative knowledge integration. [Doctoral Dissertation]. Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire; 2019. Available from: http://www.theses.fr/2019IMTA0140

12. Glenda Michele Botelho. Segmentação de imagens baseada em redes complexas e superpixels: uma aplicação ao censo de aves.

Degree: 2014, University of São Paulo

Uma das etapas mais importantes da análise de imagens e, que conta com uma enorme quantidade de aplicações, é a segmentação. No entanto, uma boa… (more)

Subjects/Keywords: Censo demográfico de aves; Detecção de comunidades; Markov Random fields; Redes complexas; Segmentação de imagens; Superpixels; Textura; Birds census; Community detection; Complex networks; Image segmentation; Markov Random fields; Superpixels; Texture

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APA (6th Edition):

Botelho, G. M. (2014). Segmentação de imagens baseada em redes complexas e superpixels: uma aplicação ao censo de aves. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/55/55134/tde-16032015-113613/

Chicago Manual of Style (16th Edition):

Botelho, Glenda Michele. “Segmentação de imagens baseada em redes complexas e superpixels: uma aplicação ao censo de aves.” 2014. Doctoral Dissertation, University of São Paulo. Accessed April 22, 2021. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-16032015-113613/.

MLA Handbook (7th Edition):

Botelho, Glenda Michele. “Segmentação de imagens baseada em redes complexas e superpixels: uma aplicação ao censo de aves.” 2014. Web. 22 Apr 2021.

Vancouver:

Botelho GM. Segmentação de imagens baseada em redes complexas e superpixels: uma aplicação ao censo de aves. [Internet] [Doctoral dissertation]. University of São Paulo; 2014. [cited 2021 Apr 22]. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-16032015-113613/.

Council of Science Editors:

Botelho GM. Segmentação de imagens baseada em redes complexas e superpixels: uma aplicação ao censo de aves. [Doctoral Dissertation]. University of São Paulo; 2014. Available from: http://www.teses.usp.br/teses/disponiveis/55/55134/tde-16032015-113613/

13. Torres, Ana Sofia. Segmentação de imagens médicas visando a construção de modelos médicos.

Degree: 2012, Instituto Politécnico de Bragança

 As imagens médicas, nomeadamente as imagens de Tomografia Computorizada são indispensáveis no diagnóstico e tratamento de doenças devido ao elevado grau de detalhe anatómico. A… (more)

Subjects/Keywords: Imagens naturais; Imagens de Tomografia Computorizada; Medida F; Segmentação de Imagem; Superpixels; Transformada Watershed

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Torres, A. S. (2012). Segmentação de imagens médicas visando a construção de modelos médicos. (Thesis). Instituto Politécnico de Bragança. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:bibliotecadigital.ipb.pt:10198/8010

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Torres, Ana Sofia. “Segmentação de imagens médicas visando a construção de modelos médicos.” 2012. Thesis, Instituto Politécnico de Bragança. Accessed April 22, 2021. https://www.rcaap.pt/detail.jsp?id=oai:bibliotecadigital.ipb.pt:10198/8010.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Torres, Ana Sofia. “Segmentação de imagens médicas visando a construção de modelos médicos.” 2012. Web. 22 Apr 2021.

Vancouver:

Torres AS. Segmentação de imagens médicas visando a construção de modelos médicos. [Internet] [Thesis]. Instituto Politécnico de Bragança; 2012. [cited 2021 Apr 22]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:bibliotecadigital.ipb.pt:10198/8010.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Torres AS. Segmentação de imagens médicas visando a construção de modelos médicos. [Thesis]. Instituto Politécnico de Bragança; 2012. Available from: https://www.rcaap.pt/detail.jsp?id=oai:bibliotecadigital.ipb.pt:10198/8010

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Loughborough University

14. Eaton, William H. Automated taxiing for unmanned aircraft systems.

Degree: PhD, 2017, Loughborough University

 Over the last few years, the concept of civil Unmanned Aircraft System(s) (UAS) has been realised, with small UASs commonly used in industries such as… (more)

Subjects/Keywords: 623.74; UAS; UAV; Taxiing; Civil aerodrome; Computer vision; Bayesian; Superpixels; Semantic segmentation; Surface operations; Drones

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APA (6th Edition):

Eaton, W. H. (2017). Automated taxiing for unmanned aircraft systems. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/33502

Chicago Manual of Style (16th Edition):

Eaton, William H. “Automated taxiing for unmanned aircraft systems.” 2017. Doctoral Dissertation, Loughborough University. Accessed April 22, 2021. http://hdl.handle.net/2134/33502.

MLA Handbook (7th Edition):

Eaton, William H. “Automated taxiing for unmanned aircraft systems.” 2017. Web. 22 Apr 2021.

Vancouver:

Eaton WH. Automated taxiing for unmanned aircraft systems. [Internet] [Doctoral dissertation]. Loughborough University; 2017. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/2134/33502.

Council of Science Editors:

Eaton WH. Automated taxiing for unmanned aircraft systems. [Doctoral Dissertation]. Loughborough University; 2017. Available from: http://hdl.handle.net/2134/33502


University of Dundee

15. Akbar, Shazia. Tumour localisation in histopathology images.

Degree: PhD, 2015, University of Dundee

 Immunohistochemical (IHC) assessment in cancer research is important for understanding the distribution and localisation of biomarkers at the cellular level. However currently IHC analyses are… (more)

Subjects/Keywords: 616.99; Tumour localisation; Immunohistochemistry; Breast cancer; Histopathology; Computer vision; Superpixels; Spin-context

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APA (6th Edition):

Akbar, S. (2015). Tumour localisation in histopathology images. (Doctoral Dissertation). University of Dundee. Retrieved from https://discovery.dundee.ac.uk/en/studentTheses/c282ab9c-5776-400f-8440-f5ac9cf2f4ba ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.659339

Chicago Manual of Style (16th Edition):

Akbar, Shazia. “Tumour localisation in histopathology images.” 2015. Doctoral Dissertation, University of Dundee. Accessed April 22, 2021. https://discovery.dundee.ac.uk/en/studentTheses/c282ab9c-5776-400f-8440-f5ac9cf2f4ba ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.659339.

MLA Handbook (7th Edition):

Akbar, Shazia. “Tumour localisation in histopathology images.” 2015. Web. 22 Apr 2021.

Vancouver:

Akbar S. Tumour localisation in histopathology images. [Internet] [Doctoral dissertation]. University of Dundee; 2015. [cited 2021 Apr 22]. Available from: https://discovery.dundee.ac.uk/en/studentTheses/c282ab9c-5776-400f-8440-f5ac9cf2f4ba ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.659339.

Council of Science Editors:

Akbar S. Tumour localisation in histopathology images. [Doctoral Dissertation]. University of Dundee; 2015. Available from: https://discovery.dundee.ac.uk/en/studentTheses/c282ab9c-5776-400f-8440-f5ac9cf2f4ba ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.659339

16. Giraud, Remi. Algorithmes de correspondance et superpixels pour l’analyse et le traitement d’images : Matching algorithms and superpixels for image analysis and processing.

Degree: Docteur es, Informatique, 2017, Bordeaux

Cette thèse s’intéresse à diverses composantes du traitement et de l’analyse d’images par méthodes non locales. Ces méthodes sont basées sur la redondance d’information présente… (more)

Subjects/Keywords: Algorithmes de correspondance; Transfert de couleurs; Images médicales; Étiquetage; Classification; Segmentation; Voisinage de superpixels; Régularité; Métriques d’évaluation; Superpixels; Méthodes non locales basées sur les patchs; Matching algorithms; Color transfer; Medical imaging; Labeling; Classification; Segmentation; Superpixel neighborhood; Regularity; Evaluation metrics; Superpixels; Patch-based non-local methods

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Giraud, R. (2017). Algorithmes de correspondance et superpixels pour l’analyse et le traitement d’images : Matching algorithms and superpixels for image analysis and processing. (Doctoral Dissertation). Bordeaux. Retrieved from http://www.theses.fr/2017BORD0771

Chicago Manual of Style (16th Edition):

Giraud, Remi. “Algorithmes de correspondance et superpixels pour l’analyse et le traitement d’images : Matching algorithms and superpixels for image analysis and processing.” 2017. Doctoral Dissertation, Bordeaux. Accessed April 22, 2021. http://www.theses.fr/2017BORD0771.

MLA Handbook (7th Edition):

Giraud, Remi. “Algorithmes de correspondance et superpixels pour l’analyse et le traitement d’images : Matching algorithms and superpixels for image analysis and processing.” 2017. Web. 22 Apr 2021.

Vancouver:

Giraud R. Algorithmes de correspondance et superpixels pour l’analyse et le traitement d’images : Matching algorithms and superpixels for image analysis and processing. [Internet] [Doctoral dissertation]. Bordeaux; 2017. [cited 2021 Apr 22]. Available from: http://www.theses.fr/2017BORD0771.

Council of Science Editors:

Giraud R. Algorithmes de correspondance et superpixels pour l’analyse et le traitement d’images : Matching algorithms and superpixels for image analysis and processing. [Doctoral Dissertation]. Bordeaux; 2017. Available from: http://www.theses.fr/2017BORD0771


Pontifical Catholic University of Rio de Janeiro

17. CAROLINE ROSA REDLICH. [en] IMAGE SEGMENTATION BASED ON SUPERPIXEL GRAPHS.

Degree: 2018, Pontifical Catholic University of Rio de Janeiro

[pt] A segmentação de imagens com objetivo de determinar a forma de objetos é ainda um problema difícil. A separação de regiões que correspondem a… (more)

Subjects/Keywords: [pt] GRAFOS; [en] GRAPHS; [pt] SEGMENTACAO DE IMAGENS; [en] IMAGE SEGMENTATION; [pt] K-MEANS; [en] K-MEANS; [pt] SUPERPIXELS; [en] SUPERPIXEL

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APA (6th Edition):

REDLICH, C. R. (2018). [en] IMAGE SEGMENTATION BASED ON SUPERPIXEL GRAPHS. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=34634

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

REDLICH, CAROLINE ROSA. “[en] IMAGE SEGMENTATION BASED ON SUPERPIXEL GRAPHS.” 2018. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed April 22, 2021. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=34634.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

REDLICH, CAROLINE ROSA. “[en] IMAGE SEGMENTATION BASED ON SUPERPIXEL GRAPHS.” 2018. Web. 22 Apr 2021.

Vancouver:

REDLICH CR. [en] IMAGE SEGMENTATION BASED ON SUPERPIXEL GRAPHS. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2018. [cited 2021 Apr 22]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=34634.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

REDLICH CR. [en] IMAGE SEGMENTATION BASED ON SUPERPIXEL GRAPHS. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2018. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=34634

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

18. Wang, Yan. Détection des changements à partir de photographies : Change detection from photographs.

Degree: Docteur es, Image, information, hypermedia, 2016, Université Toulouse III – Paul Sabatier

 Les travaux de cette thèse concernent la détection des changements dans des séries chronologiques de photographies de paysages prises depuis le sol. Ce contexte de… (more)

Subjects/Keywords: Analyse d'images; Détection des changements; Superpixels; Texture; Apprentissage; Classification; Image analysis; Change detection; Uperpixels; Texture; Machine learning; Classification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, Y. (2016). Détection des changements à partir de photographies : Change detection from photographs. (Doctoral Dissertation). Université Toulouse III – Paul Sabatier. Retrieved from http://www.theses.fr/2016TOU30069

Chicago Manual of Style (16th Edition):

Wang, Yan. “Détection des changements à partir de photographies : Change detection from photographs.” 2016. Doctoral Dissertation, Université Toulouse III – Paul Sabatier. Accessed April 22, 2021. http://www.theses.fr/2016TOU30069.

MLA Handbook (7th Edition):

Wang, Yan. “Détection des changements à partir de photographies : Change detection from photographs.” 2016. Web. 22 Apr 2021.

Vancouver:

Wang Y. Détection des changements à partir de photographies : Change detection from photographs. [Internet] [Doctoral dissertation]. Université Toulouse III – Paul Sabatier; 2016. [cited 2021 Apr 22]. Available from: http://www.theses.fr/2016TOU30069.

Council of Science Editors:

Wang Y. Détection des changements à partir de photographies : Change detection from photographs. [Doctoral Dissertation]. Université Toulouse III – Paul Sabatier; 2016. Available from: http://www.theses.fr/2016TOU30069


University of Toronto

19. Levinshtein, Alex. Low and Mid-level Shape Priors for Image Segmentation.

Degree: 2010, University of Toronto

Perceptual grouping is essential to manage the complexity of real world scenes. We explore bottom-up grouping at three different levels. Starting from low-level grouping, we… (more)

Subjects/Keywords: Perceptual Grouping; Image Segmentation; Superpixels; Symmetry; Closure; 0984; 0800

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APA (6th Edition):

Levinshtein, A. (2010). Low and Mid-level Shape Priors for Image Segmentation. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/26199

Chicago Manual of Style (16th Edition):

Levinshtein, Alex. “Low and Mid-level Shape Priors for Image Segmentation.” 2010. Doctoral Dissertation, University of Toronto. Accessed April 22, 2021. http://hdl.handle.net/1807/26199.

MLA Handbook (7th Edition):

Levinshtein, Alex. “Low and Mid-level Shape Priors for Image Segmentation.” 2010. Web. 22 Apr 2021.

Vancouver:

Levinshtein A. Low and Mid-level Shape Priors for Image Segmentation. [Internet] [Doctoral dissertation]. University of Toronto; 2010. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/1807/26199.

Council of Science Editors:

Levinshtein A. Low and Mid-level Shape Priors for Image Segmentation. [Doctoral Dissertation]. University of Toronto; 2010. Available from: http://hdl.handle.net/1807/26199


Oklahoma State University

20. Trung, Duong H. New Techniques for Data Clustering and Color Image Segmentation.

Degree: Mechanical Engineering, 2013, Oklahoma State University

 The objectives of this work are twofold: (1) to create an improved automatic clustering procedure that produces results consistent with manual clustering of data points… (more)

Subjects/Keywords: adaptive region growing; auto adjust vigilance; autoamatic color image segmentation; automatic data clustering; m-art; superpixels

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APA (6th Edition):

Trung, D. H. (2013). New Techniques for Data Clustering and Color Image Segmentation. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/15152

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Trung, Duong H. “New Techniques for Data Clustering and Color Image Segmentation.” 2013. Thesis, Oklahoma State University. Accessed April 22, 2021. http://hdl.handle.net/11244/15152.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Trung, Duong H. “New Techniques for Data Clustering and Color Image Segmentation.” 2013. Web. 22 Apr 2021.

Vancouver:

Trung DH. New Techniques for Data Clustering and Color Image Segmentation. [Internet] [Thesis]. Oklahoma State University; 2013. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/11244/15152.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Trung DH. New Techniques for Data Clustering and Color Image Segmentation. [Thesis]. Oklahoma State University; 2013. Available from: http://hdl.handle.net/11244/15152

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

21. Lucas Felipe Kunze. SIRA - reversão anaglífica utilizando técnicas de análise de séries temporais.

Degree: 2019, University of São Paulo

Nos últimos anos, a visualização das chamadas imagens tridimensionais (3D) voltou a ter destaque, em especial as imagens estereoscópicas. Tal destaque é devido à geração… (more)

Subjects/Keywords: Imagens estéreo; Processamento de sinais; Reversão anaglífica; Séries temporais; Anaglyph reversion; Signal processing; Stereo images; Superpixels; Time series

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APA (6th Edition):

Kunze, L. F. (2019). SIRA - reversão anaglífica utilizando técnicas de análise de séries temporais. (Masters Thesis). University of São Paulo. Retrieved from https://www.teses.usp.br/teses/disponiveis/55/55134/tde-04022020-095724/

Chicago Manual of Style (16th Edition):

Kunze, Lucas Felipe. “SIRA - reversão anaglífica utilizando técnicas de análise de séries temporais.” 2019. Masters Thesis, University of São Paulo. Accessed April 22, 2021. https://www.teses.usp.br/teses/disponiveis/55/55134/tde-04022020-095724/.

MLA Handbook (7th Edition):

Kunze, Lucas Felipe. “SIRA - reversão anaglífica utilizando técnicas de análise de séries temporais.” 2019. Web. 22 Apr 2021.

Vancouver:

Kunze LF. SIRA - reversão anaglífica utilizando técnicas de análise de séries temporais. [Internet] [Masters thesis]. University of São Paulo; 2019. [cited 2021 Apr 22]. Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-04022020-095724/.

Council of Science Editors:

Kunze LF. SIRA - reversão anaglífica utilizando técnicas de análise de séries temporais. [Masters Thesis]. University of São Paulo; 2019. Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-04022020-095724/

22. Eskenazi, Sébastien. On the stability of document analysis algorithms : application to hybrid document hashing technologies : De la stabilité des algorithmes d’analyse de documents : application aux technologies de hachage de documents hybrides.

Degree: Docteur es, Informatique et applications, 2016, La Rochelle

Un nombre incalculable de documents est imprimé, numérisé, faxé, photographié chaque jour. Ces documents sont hybrides : ils existent sous forme papier et numérique. De… (more)

Subjects/Keywords: Stabilité; Analyse d’images de document; Sécurité; Impression et scan; Segmentation; Hachage perceptuel d’image; Superpixels; Composantes connexes en couleurs; Descripteur de mise en page; OCR; Stability; Document image analysis; Security; Print and scan; Segmentation; Perceptual image hashing; Superpixels; Color connected components; Layout descriptor; OCR

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APA (6th Edition):

Eskenazi, S. (2016). On the stability of document analysis algorithms : application to hybrid document hashing technologies : De la stabilité des algorithmes d’analyse de documents : application aux technologies de hachage de documents hybrides. (Doctoral Dissertation). La Rochelle. Retrieved from http://www.theses.fr/2016LAROS019

Chicago Manual of Style (16th Edition):

Eskenazi, Sébastien. “On the stability of document analysis algorithms : application to hybrid document hashing technologies : De la stabilité des algorithmes d’analyse de documents : application aux technologies de hachage de documents hybrides.” 2016. Doctoral Dissertation, La Rochelle. Accessed April 22, 2021. http://www.theses.fr/2016LAROS019.

MLA Handbook (7th Edition):

Eskenazi, Sébastien. “On the stability of document analysis algorithms : application to hybrid document hashing technologies : De la stabilité des algorithmes d’analyse de documents : application aux technologies de hachage de documents hybrides.” 2016. Web. 22 Apr 2021.

Vancouver:

Eskenazi S. On the stability of document analysis algorithms : application to hybrid document hashing technologies : De la stabilité des algorithmes d’analyse de documents : application aux technologies de hachage de documents hybrides. [Internet] [Doctoral dissertation]. La Rochelle; 2016. [cited 2021 Apr 22]. Available from: http://www.theses.fr/2016LAROS019.

Council of Science Editors:

Eskenazi S. On the stability of document analysis algorithms : application to hybrid document hashing technologies : De la stabilité des algorithmes d’analyse de documents : application aux technologies de hachage de documents hybrides. [Doctoral Dissertation]. La Rochelle; 2016. Available from: http://www.theses.fr/2016LAROS019

23. Ortiz Cayón, Rodrigo. Amélioration de la vitesse et de la qualité d'image du rendu basé image : Improving speed and image quality of image-based rendering.

Degree: Docteur es, Informatique, 2017, Université Côte d'Azur (ComUE)

Le rendu photo-réaliste traditionnel exige un effort manuel et des calculs intensifs pour créer des scènes et rendre des images réalistes. C'est principalement pour cette… (more)

Subjects/Keywords: Rendu et modélisation basé image; Rendu; Méthode de Bayes; Estimation; Reconstruction; Superpixels; Deap learning; Image-based rendering and modeling; Rendering; Bayes methods; Estimation; MVS reconstruction shape-preserving warp; Superpixels; Deap learning

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APA (6th Edition):

Ortiz Cayón, R. (2017). Amélioration de la vitesse et de la qualité d'image du rendu basé image : Improving speed and image quality of image-based rendering. (Doctoral Dissertation). Université Côte d'Azur (ComUE). Retrieved from http://www.theses.fr/2017AZUR4004

Chicago Manual of Style (16th Edition):

Ortiz Cayón, Rodrigo. “Amélioration de la vitesse et de la qualité d'image du rendu basé image : Improving speed and image quality of image-based rendering.” 2017. Doctoral Dissertation, Université Côte d'Azur (ComUE). Accessed April 22, 2021. http://www.theses.fr/2017AZUR4004.

MLA Handbook (7th Edition):

Ortiz Cayón, Rodrigo. “Amélioration de la vitesse et de la qualité d'image du rendu basé image : Improving speed and image quality of image-based rendering.” 2017. Web. 22 Apr 2021.

Vancouver:

Ortiz Cayón R. Amélioration de la vitesse et de la qualité d'image du rendu basé image : Improving speed and image quality of image-based rendering. [Internet] [Doctoral dissertation]. Université Côte d'Azur (ComUE); 2017. [cited 2021 Apr 22]. Available from: http://www.theses.fr/2017AZUR4004.

Council of Science Editors:

Ortiz Cayón R. Amélioration de la vitesse et de la qualité d'image du rendu basé image : Improving speed and image quality of image-based rendering. [Doctoral Dissertation]. Université Côte d'Azur (ComUE); 2017. Available from: http://www.theses.fr/2017AZUR4004

24. Leissi Margarita Castaneda Leon. Efficient hierarchical layered graph approach for multi-region segmentation.

Degree: 2019, University of São Paulo

Image segmentation refers to the process of partitioning an image into meaningful regions of interest (objects) by assigning distinct labels to their composing pixels. Images… (more)

Subjects/Keywords: Segmentação de imagens baseada em grafos; Segmentação de imagens médicas; Segmentação de múltiplos objetos; Segmentação hierárquica de imagens; Segmentação interativa; Superpixels; Hierarchical image segmentation; Image segmentation based on graphs; Interactive segmentation; Medical image segmentation; Multiple object segmentation; Superpixels

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APA (6th Edition):

Leon, L. M. C. (2019). Efficient hierarchical layered graph approach for multi-region segmentation. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45134/tde-12092019-110342/

Chicago Manual of Style (16th Edition):

Leon, Leissi Margarita Castaneda. “Efficient hierarchical layered graph approach for multi-region segmentation.” 2019. Doctoral Dissertation, University of São Paulo. Accessed April 22, 2021. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-12092019-110342/.

MLA Handbook (7th Edition):

Leon, Leissi Margarita Castaneda. “Efficient hierarchical layered graph approach for multi-region segmentation.” 2019. Web. 22 Apr 2021.

Vancouver:

Leon LMC. Efficient hierarchical layered graph approach for multi-region segmentation. [Internet] [Doctoral dissertation]. University of São Paulo; 2019. [cited 2021 Apr 22]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-12092019-110342/.

Council of Science Editors:

Leon LMC. Efficient hierarchical layered graph approach for multi-region segmentation. [Doctoral Dissertation]. University of São Paulo; 2019. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-12092019-110342/

25. Marcos Ademir Tejada Condori. Extensão da transformada imagem-floresta diferencial para funções de conexidade com aumentos baseados na raiz e sua aplicação para geração de superpixels.

Degree: 2017, University of São Paulo

A segmentação de imagens é um problema muito importante em visão computacional, no qual uma imagem é dividida em regiões relevantes, tal como para isolar… (more)

Subjects/Keywords: Funções não monotonicamente incrementais; Perseguição de bordas; Rastreamento de curvas; Segmentação interativa; Superpixels; Transformada imagem-floresta; Transformada imagem-floresta diferencial; Boundary tracking; Curve tracing; Differential image foresting transform; Image foresting transform; Interactive segmentation; Non-monotonically incremental functions; Superpixels

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APA (6th Edition):

Condori, M. A. T. (2017). Extensão da transformada imagem-floresta diferencial para funções de conexidade com aumentos baseados na raiz e sua aplicação para geração de superpixels. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45134/tde-31072018-161103/

Chicago Manual of Style (16th Edition):

Condori, Marcos Ademir Tejada. “Extensão da transformada imagem-floresta diferencial para funções de conexidade com aumentos baseados na raiz e sua aplicação para geração de superpixels.” 2017. Masters Thesis, University of São Paulo. Accessed April 22, 2021. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-31072018-161103/.

MLA Handbook (7th Edition):

Condori, Marcos Ademir Tejada. “Extensão da transformada imagem-floresta diferencial para funções de conexidade com aumentos baseados na raiz e sua aplicação para geração de superpixels.” 2017. Web. 22 Apr 2021.

Vancouver:

Condori MAT. Extensão da transformada imagem-floresta diferencial para funções de conexidade com aumentos baseados na raiz e sua aplicação para geração de superpixels. [Internet] [Masters thesis]. University of São Paulo; 2017. [cited 2021 Apr 22]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-31072018-161103/.

Council of Science Editors:

Condori MAT. Extensão da transformada imagem-floresta diferencial para funções de conexidade com aumentos baseados na raiz e sua aplicação para geração de superpixels. [Masters Thesis]. University of São Paulo; 2017. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-31072018-161103/

26. Τσάμπρας, Λάμπρος. Κατηγοροποίηση μαγνητικών τομογραφιών με DSPs.

Degree: 2014, University of Patras

Είναι ενδιαφέρουσα αλλά συνάμα δύσκολη η ανάλυση ιατρικών εικόνων, επειδή υπάρχουν πολύ μικρές διακυμάνσεις και μεγάλος όγκος δεδομένων για επεξεργασία. Είναι αρκετά δύσκολο να αναπτυχθεί… (more)

Subjects/Keywords: Παθήσεις γόνατος; Υπερεικονοστοιχεία; Γενετικοί αλγόριθμοι; Θολή λογική; Πίσω χιαστός; 616.075 48; ANFIS; HMRF-EM; Knee diseases; Turbopixel; HMM; Genetic algorithms; Turbopixels; Superpixels; MRI knee; Mean shift; Fuzzy logic

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Τσάμπρας, . (2014). Κατηγοροποίηση μαγνητικών τομογραφιών με DSPs. (Masters Thesis). University of Patras. Retrieved from http://hdl.handle.net/10889/8282

Chicago Manual of Style (16th Edition):

Τσάμπρας, Λάμπρος. “Κατηγοροποίηση μαγνητικών τομογραφιών με DSPs.” 2014. Masters Thesis, University of Patras. Accessed April 22, 2021. http://hdl.handle.net/10889/8282.

MLA Handbook (7th Edition):

Τσάμπρας, Λάμπρος. “Κατηγοροποίηση μαγνητικών τομογραφιών με DSPs.” 2014. Web. 22 Apr 2021.

Vancouver:

Τσάμπρας . Κατηγοροποίηση μαγνητικών τομογραφιών με DSPs. [Internet] [Masters thesis]. University of Patras; 2014. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/10889/8282.

Council of Science Editors:

Τσάμπρας . Κατηγοροποίηση μαγνητικών τομογραφιών με DSPs. [Masters Thesis]. University of Patras; 2014. Available from: http://hdl.handle.net/10889/8282


University of Colorado

27. Ghafarianzadeh, Mahsa. Towards Temporal Semantic Scene Understanding.

Degree: PhD, Computer Science, 2017, University of Colorado

  The ability to quickly and accurately understand pixel-level scene semantics is a key capability required for various robotics applications such as autonomous driving. Until… (more)

Subjects/Keywords: 3D Superpixels; Efficient Spectral Clustering; Semantic Scene Understanding; Spatio-temporal Segmentation; Temporal Object Discovery; Video Understanding; Artificial Intelligence and Robotics; Computer Sciences; Robotics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ghafarianzadeh, M. (2017). Towards Temporal Semantic Scene Understanding. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/144

Chicago Manual of Style (16th Edition):

Ghafarianzadeh, Mahsa. “Towards Temporal Semantic Scene Understanding.” 2017. Doctoral Dissertation, University of Colorado. Accessed April 22, 2021. https://scholar.colorado.edu/csci_gradetds/144.

MLA Handbook (7th Edition):

Ghafarianzadeh, Mahsa. “Towards Temporal Semantic Scene Understanding.” 2017. Web. 22 Apr 2021.

Vancouver:

Ghafarianzadeh M. Towards Temporal Semantic Scene Understanding. [Internet] [Doctoral dissertation]. University of Colorado; 2017. [cited 2021 Apr 22]. Available from: https://scholar.colorado.edu/csci_gradetds/144.

Council of Science Editors:

Ghafarianzadeh M. Towards Temporal Semantic Scene Understanding. [Doctoral Dissertation]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/csci_gradetds/144


University of Technology, Sydney

28. Gong, Chen. Robust graph transduction.

Degree: 2016, University of Technology, Sydney

 Given a weighted graph, graph transduction aims to assign unlabeled examples explicit class labels rather than build a general decision function based on the available… (more)

Subjects/Keywords: Computational intelligence.; “Bridge points”.; Graph theory.; Graph transduction algorithms.; Label Prediction via Deformed Graph Laplacian” (LPDGL); Non-iterative algorithm.; Saliency detection.; Superpixels

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Gong, C. (2016). Robust graph transduction. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/102708

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gong, Chen. “Robust graph transduction.” 2016. Thesis, University of Technology, Sydney. Accessed April 22, 2021. http://hdl.handle.net/10453/102708.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gong, Chen. “Robust graph transduction.” 2016. Web. 22 Apr 2021.

Vancouver:

Gong C. Robust graph transduction. [Internet] [Thesis]. University of Technology, Sydney; 2016. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/10453/102708.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gong C. Robust graph transduction. [Thesis]. University of Technology, Sydney; 2016. Available from: http://hdl.handle.net/10453/102708

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Cambridge

29. Yang, Huiqi. Development of computer-based algorithms for unsupervised assessment of radiotherapy contouring.

Degree: PhD, 2019, University of Cambridge

 INTRODUCTION: Despite the advances in radiotherapy treatment delivery, target volume delineation remains one of the greatest sources of error in the radiotherapy delivery process, which… (more)

Subjects/Keywords: 616.99; Radiotherapy; segmentation; automatic; lung; cancer; texture; watershed; active contour; graph-cut; superpixels; contouring; delineation; outlining; quality assurance; computation; automated; carcinoma; texture analysis; clinical trial

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yang, H. (2019). Development of computer-based algorithms for unsupervised assessment of radiotherapy contouring. (Doctoral Dissertation). University of Cambridge. Retrieved from https://doi.org/10.17863/CAM.31839 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763765

Chicago Manual of Style (16th Edition):

Yang, Huiqi. “Development of computer-based algorithms for unsupervised assessment of radiotherapy contouring.” 2019. Doctoral Dissertation, University of Cambridge. Accessed April 22, 2021. https://doi.org/10.17863/CAM.31839 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763765.

MLA Handbook (7th Edition):

Yang, Huiqi. “Development of computer-based algorithms for unsupervised assessment of radiotherapy contouring.” 2019. Web. 22 Apr 2021.

Vancouver:

Yang H. Development of computer-based algorithms for unsupervised assessment of radiotherapy contouring. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2021 Apr 22]. Available from: https://doi.org/10.17863/CAM.31839 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763765.

Council of Science Editors:

Yang H. Development of computer-based algorithms for unsupervised assessment of radiotherapy contouring. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://doi.org/10.17863/CAM.31839 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763765


University of Technology, Sydney

30. Abidi, Syed Shaukat Raza. Semi-supervised and unsupervised extensions to maximum-margin structured prediction.

Degree: 2016, University of Technology, Sydney

 Structured prediction is the backbone of various computer vision and machine learning applications. Inspired by the success of maximum-margin classifiers in the recent years; in… (more)

Subjects/Keywords: Computer vision and machine learning applications.; Structured prediction.; Maximum-margin classifiers.; Semi-supervised and unsupervised extensions to structured prediction.; “Superpixels”.; Latent structural SVM approach.; Well-SSVM.; M³ Networks.; Interpretation of M³ Networks in Well-SSVM.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Abidi, S. S. R. (2016). Semi-supervised and unsupervised extensions to maximum-margin structured prediction. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/52925

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Abidi, Syed Shaukat Raza. “Semi-supervised and unsupervised extensions to maximum-margin structured prediction.” 2016. Thesis, University of Technology, Sydney. Accessed April 22, 2021. http://hdl.handle.net/10453/52925.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Abidi, Syed Shaukat Raza. “Semi-supervised and unsupervised extensions to maximum-margin structured prediction.” 2016. Web. 22 Apr 2021.

Vancouver:

Abidi SSR. Semi-supervised and unsupervised extensions to maximum-margin structured prediction. [Internet] [Thesis]. University of Technology, Sydney; 2016. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/10453/52925.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Abidi SSR. Semi-supervised and unsupervised extensions to maximum-margin structured prediction. [Thesis]. University of Technology, Sydney; 2016. Available from: http://hdl.handle.net/10453/52925

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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