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Computational Introduction to Digital Image Processing (Revised) (Hardcover) (Alasdair McAndrew)

Computational Introduction to Digital Image Processing (Revised) (Hardcover) (Alasdair McAndrew) - image 1 of 1

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This text introduces digital image processing from an elementary perspective that uses simple math aligned with elementary undergraduate computer science (including calculus and linear algebra), explaining the nature and use of digital images and how they can be obtained, stored, and displayed. It uses software and mainly discrete mathematics and covers images files and file types; image display, geometry, restoration, segmentation, topology, coding, and compression; point and neighborhood processing; the Fourier transform; mathematical morphology; shapes and boundaries; color processing; wavelets; and special effects. Along with MATLAB, this edition includes GNU Octave and Python, as well as new images, redrawn diagrams, and new discussions of edge-preserving blurring filters, ISODATA thresholding, Radon transform, corner detection, the retinex algorithm, LZW compression, and other topics. Annotation ©2016 Ringgold, Inc., Portland, OR (

This second edition of a bestselling textbook provides an accessible introduction to image processing using MATLAB. It includes copious exercises carefully scaffolded to maximize learning and keeps the mathematics to a minimum without sacrificing rigor. The book uses three environments: MATLAB, GNU Octave, and Python. The latter is included as it is a programming language with an operating environment (\iPython") similar in style to that of MATLAB, and which also has copious numerical, scientific, and imaging libraries.

Edition: Revised
Number of Pages: 535.0
Genre: Computers + Internet, Mathematics, Technology
Sub-Genre: Computer Graphics / General, Graphic Methods, Imaging Systems
Format: Hardcover
Publisher: Taylor & Francis
Author: Alasdair McAndrew
Language: English
Street Date: November 5, 2015
TCIN: 24002417
UPC: 9781482247329
Item Number (DPCI): 247-50-9394

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