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The Image Processing Handbook
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Bibliographic Detail
Publisher CRC Pr I Llc
Publication date October 1, 1998
Pages 771
Binding Hardcover
Book category Adult Non-Fiction
ISBN-13 9780849325328
ISBN-10 0849325323
Dimensions 1.50 by 7.50 by 10.50 in.
Weight 4.10 lbs.
Availability§ Out of Print
Original list price $149.95
§As reported by publisher
Summaries and Reviews
Amazon.com description: Product Description: Image Processing Handbook covers methods for two different purposes:
  • improving the visual appearance of images to a human viewer
  • preparing images for measurement of the features and structures present
    The handbook presents an extensive collection of image processing tools, enabling the user of computer-based system to understand those methods provided in packaged software and to program additions needed for particular applications. Comparisons are presented of different algorithms that may be used for similar purposes, including a selection of representative pictures from light and electron microscopes as well as macroscopic, satellite, and astronomical images.

    Developments in graphic information, covering the array of concepts and techniques in high-end imaging software, are detailed. With balanced, complete descriptions, the text outlines frequency space methods with extensive mathematical presentation and spatial domain processing - requiring only a modest technical background in mathematics or computers.

    This handbook teaches by example: By seeing what various operations do to representative images, the reader will discover how and why to use them. Image Processing Handbook encourages the reader to use its information with a real source of images and a computer-based system as well as to freely experiment with different methods to determine the most appropriate for his or her particular needs.

    To facilitate the learning process, Reindeer Games in Charlotte, NC offers The Image Processing Tool Kit - a CD-ROM containing more than 150 images and more than 150 Photoshop®-compatible plug-ins that implement the algorithms discussed.

    This revision of the established standard acts as a singular resource for professionals in the medical, biological, and materials sciences as well as a range of engineering venues, including electrical and computer engineering, optical engineering, telecommunications, and artificial intelligence.


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