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Beginner's Guide to Image Preprocessing Techniques

Language EnglishEnglish
Book Hardback
Book Beginner's Guide to Image Preprocessing Techniques Chaki
Libristo code: 19750285
Publishers Taylor & Francis Ltd, November 2018
For optimal computer vision outcomes, attention to image pre-processing is required so that one can... Full description
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For optimal computer vision outcomes, attention to image pre-processing is required so that one can improve image features by eliminating unwanted falsification. This book emphasizes various image pre-processing methods which are necessary for early extraction of features from the image. Effective use of image pre-processing can offer advantages and resolve complications that finally results in improved detection of local and global features. Different approaches for image enrichments and improvements are conferred in this book that will affect the feature analysis depending on how the procedures are employed.

Key Features

  • Describes the methods used to prepare images for further analysis which includes noise removal, enhancement, segmentation, local, and global feature description

  • Includes image data pre-processing for neural networks and deep learning

  • Covers geometric, pixel brightness, filtering, mathematical morphology transformation, and segmentation pre-processing techniques

  • Illustrates a combination of basic and advanced pre-processing techniques essential to computer vision pipeline

    • Details complications to resolve using image pre-processing

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    About the book

    Full name Beginner's Guide to Image Preprocessing Techniques
    Author Chaki, Jyotismita (Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India), Nilanjan Dey
    Language English
    Binding Book - Hardback
    Date of issue 2018
    Number of pages 100
    EAN 9781138339316
    ISBN 9781138339316
    Libristo code 19750285
    Publishers Taylor & Francis Ltd
    Weight 317
    Dimensions 156 x 235 x 13

    Categories

    Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering
    Technology, Engineering, Agriculture > Electronics & communications engineering > Communications engineering / telecommunications
    Computing & Information Technology > Computer science > Image processing
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