Canny edge detector

Results: 71



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11Supervised Learning of Edges and Object Boundaries Piotr Doll´ar Zhuowen Tu  Serge Belongie

Supervised Learning of Edges and Object Boundaries Piotr Doll´ar Zhuowen Tu Serge Belongie

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Source URL: pages.ucsd.edu

Language: English - Date: 2006-04-02 13:05:32
12CS 558: Homework Assignment 1- Edge Detection Due: February 10, 6:00pm Philippos Mordohai Department of Computer Science Stevens Institute of Technology

CS 558: Homework Assignment 1- Edge Detection Due: February 10, 6:00pm Philippos Mordohai Department of Computer Science Stevens Institute of Technology

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Source URL: www.cs.stevens.edu

Language: English - Date: 2016-02-03 02:39:04
13Determining depth in scene COMS30121 - Image Processing and Computer Vision Jaroslav Boroviˇ cka – ,  University of Bristol / Czech Technical University in Prague

Determining depth in scene COMS30121 - Image Processing and Computer Vision Jaroslav Boroviˇ cka – , University of Bristol / Czech Technical University in Prague

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Source URL: borovicka.org

Language: English - Date: 2015-05-14 19:53:22
14IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,  VOL. 21, NO. 6,

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, VOL. 21, NO. 6,

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Source URL: geostat.bordeaux.inria.fr

Language: English - Date: 2016-02-18 11:57:31
15IWSSIP17th International Conference on Systems, Signals and Image Processing  Adapting the Sobel Edge Detector and Canny Edge Extractor for iPhone 3GS architecture Marcelo G. Roque

IWSSIP17th International Conference on Systems, Signals and Image Processing Adapting the Sobel Edge Detector and Canny Edge Extractor for iPhone 3GS architecture Marcelo G. Roque

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Source URL: www.creacteve.com.br

Language: English - Date: 2010-06-02 12:14:49
    16arXiv:1207.3510v2 [cs.CV] 18 DecHMRF-EM-image: Implementation of the Hidden Markov Random Field Model and its Expectation-Maximization Algorithm Quan Wang Signal Analysis and Machine Perception Laboratory

    arXiv:1207.3510v2 [cs.CV] 18 DecHMRF-EM-image: Implementation of the Hidden Markov Random Field Model and its Expectation-Maximization Algorithm Quan Wang Signal Analysis and Machine Perception Laboratory

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    Source URL: arxiv.org

    Language: English - Date: 2012-12-19 20:29:27
    17Current Research in Computer Science Vol. 1, No): 1-4 Research Article Open Access  A Novel Automatic Object Detection in Images

    Current Research in Computer Science Vol. 1, No): 1-4 Research Article Open Access A Novel Automatic Object Detection in Images

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    Source URL: crcs.aizeonpublishers.net

    Language: English - Date: 2013-01-03 23:01:20
    18THE USE OF ACTIVE CONTOURS FOR THE DETECTION OF COASTLINES IN SAR IMAGES: A MODULAR KNOWLEDGE-BASED FRAMEWORK Benjamin Seppke, Leonie Dreschler-Fischer, and Max Brauer University of Hamburg Department of Informatics Cogn

    THE USE OF ACTIVE CONTOURS FOR THE DETECTION OF COASTLINES IN SAR IMAGES: A MODULAR KNOWLEDGE-BASED FRAMEWORK Benjamin Seppke, Leonie Dreschler-Fischer, and Max Brauer University of Hamburg Department of Informatics Cogn

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    Source URL: kogs-www.informatik.uni-hamburg.de

    Language: English - Date: 2011-11-03 12:04:42
    19THE APPLICATION OF ACTIVE CONTOURS FOR THE LOCALIZATION OF VARYING-CONTRAST EDGES IN SYNTHETIC APERTURE RADAR IMAGES Benjamin Seppke and Leonie Dreschler-Fischer University of Hamburg, MIN-Faculty, Department of Informat

    THE APPLICATION OF ACTIVE CONTOURS FOR THE LOCALIZATION OF VARYING-CONTRAST EDGES IN SYNTHETIC APERTURE RADAR IMAGES Benjamin Seppke and Leonie Dreschler-Fischer University of Hamburg, MIN-Faculty, Department of Informat

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    Source URL: kogs-www.informatik.uni-hamburg.de

    Language: English - Date: 2011-11-03 11:56:43
    20F. Petzold, J. Pfeil, C. Riechert, R. Green, ‘AR Bridge Builder: Real-Time Vectorisation of Freehand Sketched Structures for an AR Application’, Proceedings of Image and Vision Computing New Zealand 2007, pp. 192–1

    F. Petzold, J. Pfeil, C. Riechert, R. Green, ‘AR Bridge Builder: Real-Time Vectorisation of Freehand Sketched Structures for an AR Application’, Proceedings of Image and Vision Computing New Zealand 2007, pp. 192–1

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    Source URL: digital.liby.waikato.ac.nz

    Language: English - Date: 2010-09-15 18:57:18