Digital Picture Processing
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Digital Picture Processing
Digital Picture Processing is a technique-oriented book aiming to teach the more extensive treatments of digital pictures. The book discusses picture processing; the computer representation of pictures; and the mathematical preliminaries involved. The visual perception, the digitization and the different techniques on sampling, and different techniques on compression are also covered. The book also explains the enhancement techniques, such as sharpening and moothing; filtering techniques used in restoration; and the geometry and description of a picture. The text is recommended to students of electrical engineering and computer science, who intend to learn better techniques in picture processing through digital means. The book is also suitable as an advanced undergraduate or a graduate course in picture processing.
Digital Image Processing for Medical Applications
Author: Geoff Dougherty
language: en
Publisher: Cambridge University Press
Release Date: 2009-04-09
Image processing is a hands-on discipline, and the best way to learn is by doing. This text takes its motivation from medical applications and uses real medical images and situations to illustrate and clarify concepts and to build intuition, insight and understanding. Designed for advanced undergraduates and graduate students who will become end-users of digital image processing, it covers the basics of the major clinical imaging modalities, explaining how the images are produced and acquired. It then presents the standard image processing operations, focusing on practical issues and problem solving. Crucially, the book explains when and why particular operations are done, and practical computer-based activities show how these operations affect real images. All images, links to the public-domain software ImageJ and custom plug-ins, and selected solutions are available from www.cambridge.org/books/dougherty.
Picture Processing by Computer
The field of picture processing by computer is reviewed from a technique-oriented standpoint. Only the processing of given pictures (as opposed to computer-synthesized pictures) is considered. Specific areas covered include: (a) Pictures as information sources and their efficient encoding; (b) Approximation of pictures - sampling and quantization techniques; (c) Position-invariant operations on pictures and their implementation (digital, electro-optical, optical); applications to matched filtering (template matching), spatial frequency filtering and image restoration, measurement of image quality, and image enhancement ('smoothing' and 'sharpening'); (d) Picture properties (linear; local and 'textural'; random) useful for pictorial pattern recognition; (e) 'Figure extraction' from pictures; figure properties (topology, size, shape); (f) Picture description and 'picture languages.' (Author).