Výsledky vyhledávání - low-level computer vision AND image processing algorithms*

  1. 1

    A general framework for low level vision Autor Sochen, N., Kimmel, R., Malladi, R.

    ISSN: 1057-7149
    Vydáno: United States IEEE 01.03.1998
    Vydáno v IEEE transactions on image processing (01.03.1998)
    “…We introduce a new geometrical framework based on which natural flows for image scale space and enhancement are presented…”
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    Journal Article
  2. 2

    ASSERT: A Physician-in-the-Loop Content-Based Retrieval System for HRCT Image Databases Autor Shyu, Chi-Ren, Brodley, Carla E., Kak, Avinash C., Kosaka, Akio, Aisen, Alex M., Broderick, Lynn S.

    ISSN: 1077-3142, 1090-235X
    Vydáno: Elsevier Inc 01.07.1999
    “…It is now recognized in many domains that content-based image retrieval from a database of images cannot be carried out by using completely automated approaches…”
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    Journal Article
  3. 3

    Bayesian Saliency via Low and Mid Level Cues Autor Xie, Yulin, Lu, Huchuan, Yang, Ming-Hsuan

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Vydáno: New York, NY IEEE 01.05.2013
    Vydáno v IEEE transactions on image processing (01.05.2013)
    “…Visual saliency detection is a challenging problem in computer vision, but one of great importance and numerous applications…”
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    Journal Article
  4. 4

    FAST: framework for heterogeneous medical image computing and visualization Autor Smistad, Erik, Bozorgi, Mohammadmehdi, Lindseth, Frank

    ISSN: 1861-6410, 1861-6429, 1861-6429
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2015
    “…Purpose Computer systems are becoming increasingly heterogeneous in the sense that they consist of different processors, such as multi-core CPUs and graphic processing units…”
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    Journal Article
  5. 5

    Automatic Crack Detection on Road Pavements Using Encoder-Decoder Architecture Autor Fan, Zhun, Li, Chong, Chen, Ying, Wei, Jiahong, Loprencipe, Giuseppe, Chen, Xiaopeng, Di Mascio, Paola

    ISSN: 1996-1944, 1996-1944
    Vydáno: Basel MDPI AG 02.07.2020
    Vydáno v Materials (02.07.2020)
    “…Automatic crack detection from images is an important task that is adopted to ensure road safety and durability for Portland cement concrete (PCC…”
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    Journal Article
  6. 6

    Proximity Contours: Vision based Detection and Tracking of Objects in Manufacturing Plants using Industrial Control Systems Autor Shishira, S, Rao, Vidyadhar, Sudarsan, Sithu D

    ISSN: 2378-363X
    Vydáno: IEEE 01.07.2019
    “… The proposed approach improves productivity and solves several challenges including the speed of execution to support real-time operations, number and choice of image processing stages as well…”
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    Konferenční příspěvek
  7. 7

    Computational mechanisms underlying cortical responses to the affordance properties of visual scenes Autor Bonner, Michael F., Epstein, Russell A.

    ISSN: 1553-7358, 1553-734X, 1553-7358
    Vydáno: United States Public Library of Science 23.04.2018
    Vydáno v PLoS computational biology (23.04.2018)
    “…Biologically inspired deep convolutional neural networks (CNNs), trained for computer vision tasks, have been found to predict cortical responses with remarkable accuracy…”
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    Journal Article
  8. 8

    Verte-Box: A Novel Convolutional Neural Network for Fully Automatic Segmentation of Vertebrae in CT Image Autor Li, Bing, Liu, Chuang, Wu, Shaoyong, Li, Guangqing

    ISSN: 2379-139X, 2379-1381, 2379-139X
    Vydáno: Switzerland MDPI 01.01.2022
    Vydáno v Tomography (Ann Arbor) (01.01.2022)
    “… module and a dual attention module. The channel attention module is used to explore and emphasize the interdependence between channel graphs of low-level features…”
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    Journal Article
  9. 9

    Gradient-Based Camera Exposure Control for Outdoor Mobile Platforms Autor Shim, Inwook, Oh, Tae-Hyun, Lee, Joon-Young, Choi, Jinwook, Choi, Dong-Geol, Kweon, In So

    ISSN: 1051-8215, 1558-2205
    Vydáno: New York IEEE 01.06.2019
    “… Because most image processing algorithms rely heavily on low-level image features that are based mainly on local gradient information, we consider that gradient quantity can determine the proper…”
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    Journal Article
  10. 10

    Gradient-based Camera Exposure Control for Outdoor Mobile Platforms Autor Shim, Inwook, Tae-Hyun Oh, Joon-Young, Lee, Choi, Jinwook, Choi, Dong-Geol, In So Kweon

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 13.06.2018
    Vydáno v arXiv.org (13.06.2018)
    “… Because most image processing algorithms rely heavily on low-level image features that are based mainly on local gradient information, we consider that gradient quantity can determine the proper…”
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    Paper
  11. 11

    Local versus global features for content-based image retrieval Autor Shyu, C.R., Brodley, C.E., Kak, A.C., Kosaka, A., Aisen, A., Broderick, L.

    ISBN: 9780818685446, 0818685441
    Vydáno: IEEE 1998
    “…It is now recognized in many domains that content-based image retrieval (CBIR) from a database of images cannot be carried out by using completely automated approaches…”
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    Konferenční příspěvek
  12. 12

    Parametric Dense Stereovision Implementation on a System-on Chip (SoC) Autor Gardel, Alfredo, Montejo, Pablo, García, Jorge, Bravo, Ignacio, Lázaro, José L.

    ISSN: 1424-8220, 1424-8220
    Vydáno: Switzerland MDPI AG 01.02.2012
    Vydáno v Sensors (Basel, Switzerland) (01.02.2012)
    “… The proposed system-on-chip (SoC) provides great performance and efficiency, with a scalable architecture available for many different situations, addressing real time processing of stereo image flow…”
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    Journal Article
  13. 13

    Improved Foreground Detection via Block-Based Classifier Cascade With Probabilistic Decision Integration Autor Reddy, V., Sanderson, C., Lovell, B. C.

    ISSN: 1051-8215, 1558-2205
    Vydáno: New York, NY IEEE 01.01.2013
    “…Background subtraction is a fundamental low-level processing task in numerous computer vision applications…”
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    Journal Article
  14. 14

    Global Optimization for Mapping Parallel Image Processing Tasks on Distributed Memory Machines Autor Lee, Cheolwhan, Wang, Yuan-Fang, Yang, Tao

    ISSN: 0743-7315, 1096-0848
    Vydáno: San Diego, CA Elsevier Inc 25.08.1997
    “…Many parallel algorithms and library routines for computer vision and image processing (CVIP…”
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    Journal Article
  15. 15

    Efficient mapping algorithms for a class of hierarchical systems Autor Ziavras, S.G.

    ISSN: 1045-9219
    Vydáno: Los Alamitos, CA IEEE 01.11.1993
    “… Among the set of candidate application domains, low-level and intermediate-level image processing and computer vision (IPCV…”
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    Journal Article
  16. 16

    Improved Foreground Detection via Block-based Classifier Cascade with Probabilistic Decision Integration Autor Reddy, Vikas, Sanderson, Conrad, Lovell, Brian C

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 18.03.2013
    Vydáno v arXiv.org (18.03.2013)
    “…Background subtraction is a fundamental low-level processing task in numerous computer vision applications…”
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    Paper
  17. 17

    Consensus-Based Image Segmentation via Topological Persistence Autor Qian Ge, Lobaton, Edgar

    ISSN: 2160-7516
    Vydáno: IEEE 01.06.2016
    “…Image segmentation is one of the most important lowlevel operation in image processing and computer vision…”
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  18. 18

    Image Processing Vision Systems: Standard Image Sensors Versus Retinas Autor Elouardi, A., Bouaziz, S., Dupret, A., Lacassagne, L., Klein, J.-O., Reynaud, R.

    ISSN: 0018-9456, 1557-9662
    Vydáno: New York IEEE 01.10.2007
    “…To decrease the computational complexity of computer vision algorithms, one of the solutions is to achieve some low-level image processing on the sensor focal plan…”
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    Journal Article
  19. 19

    Object-oriented prototypes of parallel architectures for the performance evaluation of algorithms Autor Barad, H.

    ISBN: 9780818658921, 0818658924
    Vydáno: IEEE Comput. Soc. Press 1988
    Vydáno v Proceedings (1988)
    “… low-level image processing through high-level symbolic computations) on such an…”
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  20. 20

    Image Segmentation using Convolutional Neural Network for Image Annotation Autor Nemade, S. B., Sonavane, S. P.

    Vydáno: IEEE 01.07.2019
    “… Image segmentation finds application in various areas of image processing and computer vision…”
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