This textbook presents the fundamental concepts and methods for understanding and working with images and video in an unique, easy-to-read style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data. Features: includes more than 100 exercises, as well as C-code snippets of the key algorithms; covers topics on image acquisition, color images, ...
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This textbook presents the fundamental concepts and methods for understanding and working with images and video in an unique, easy-to-read style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data. Features: includes more than 100 exercises, as well as C-code snippets of the key algorithms; covers topics on image acquisition, color images, point processing, neighborhood processing, morphology, BLOB analysis, segmentation in video, tracking, geometric transformation, and visual effects; requires only a minimal understanding of mathematics; presents two chapters dedicated to applications; provides a guide to defining suitable values for parameters in video and image processing systems, and to conversion between the RGB color representation and the HIS, HSV and YUV/YCbCr color representations.
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Add this copy of Introduction to Video and Image Processing: Building to cart. £40.38, new condition, Sold by Booksplease rated 4.0 out of 5 stars, ships from Southport, MERSEYSIDE, UNITED KINGDOM, published 2012 by Springer London Ltd.
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New. Contains: Illustrations, black & white, Illustrations, color. Undergraduate Topics in Computer Science . XI, 227 p. 181 illus., 71 illus. in color. Intended for professional and scholarly audience.
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New. Print on demand Contains: Illustrations, black & white, Illustrations, color. Undergraduate Topics in Computer Science . XI, 227 p. 181 illus., 71 illus. in color. Intended for professional and scholarly audience.
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