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Feature Extraction and Image Processing for Computer Vision / Mark Nixon , Alberto S. Aguad

By: Contributor(s): Material type: TextTextLanguage: English Publication details: London : Academic Press Inc , 2020Edition: Fourth EditionDescription: 626 Pages ; 24 cmISBN:
  • 9780128149768
Subject(s): LOC classification:
  • TA1637 N59 2020
Summary: Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the link between theory and exemplar code of the algorithms." Essential background theory is carefully explained. This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation
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Holdings
Item type Current library Call number Copy number Status Barcode
Books Books Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي TA1637 .N59 2020 (Browse shelf(Opens below)) C. 1 Available 10002362
Books Books Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي TA1637 .N59 2020 (Browse shelf(Opens below)) C. 2 Available 10009485
Books Books Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي TA1637 .N59 2020 (Browse shelf(Opens below)) C. 3 Available 10002360

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Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the link between theory and exemplar code of the algorithms." Essential background theory is carefully explained. This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation

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