Search Results - I.4 [Computing Methodologies]: Image Processing and Computer Vision-Parameter Adjustment

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  1. 1

    Perceptually Linear Parameter Variations by Lindow, Norbert, Baum, Daniel, Hege, Hans-Christian

    ISSN: 0167-7055, 1467-8659
    Published: Oxford, UK Blackwell Publishing Ltd 01.05.2012
    Published in Computer graphics forum (01.05.2012)
    “…Most visual analysis tasks require interactive adjustment of parameter values. In general, a linear variation of a parameter, using for instance a GUI slider, changes the visual result in a perceptually non‐linear way…”
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    Journal Article
  2. 2

    High performance computing in image processing and computer vision by Webb, J.A.

    ISBN: 9780818662751, 0818662751
    Published: IEEE 1994
    “…Image processing and computer vision are natural applications for high performance computing…”
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    Conference Proceeding
  3. 3

    Developments of Computer Vision and Image Processing: Methodologies and Applications by Reis, Manuel J. C. S.

    ISSN: 1999-5903, 1999-5903
    Published: Basel MDPI AG 30.06.2023
    Published in Future internet (30.06.2023)
    “…The rapid advancement of technology has enabled a vast and ever-growing number of computer applications in real scenarios of our daily life [...]…”
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    Journal Article
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    Parallelization strategies for modern computing platforms: Application to illustrative image processing and computer vision applications by Ben Cheikh, Taieb Lamine

    ISBN: 1369486405, 9781369486407
    Published: ProQuest Dissertations & Theses 01.01.2015
    “… Recently, both HPC and embedded computers are moving toward heterogeneous computing platforms…”
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    Dissertation
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    Scalable high performance computing: A poly-algorithmic approach to computer vision and image processing libraries on parallel systems by Patel, Jamshed Nanabhai

    ISBN: 0591039907, 9780591039900
    Published: ProQuest Dissertations & Theses 01.01.1996
    “… Towards this end, Cloner has recently been proposed as a library-based algorithm prototyping environment tailored to the areas of computer vision and image processing (CVIP…”
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    Dissertation
  8. 8

    Electroluminescent Image Processing and Cell Degradation Type Classification via Computer Vision and Statistical Learning Methodologies by Fada, Justin S., Hossain, Mohammad A., Braid, Jennifer L., Shuying Yang, Peshek, Timothy J., French, Roger H.

    Published: IEEE 01.06.2017
    “…A data set of 90 60-cell module images from 5 commercial PV module brands over 6 exposure steps of damp-heat testing were analyzed…”
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    Conference Proceeding
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