Digital Image Processing, Global Edition (Paperback, 4th edition)

For courses in Image Processing and Computer Vision. For years, Image Processing has been the foundational text for the study of digital image processing. The book is suited for students at the college senior and first-year graduate level with prior background in mathematical analysis, vectors, matrices, probability, statistics, linear systems, and computer programming. As in all earlier editions, the focus of this edition of the book is on fundamentals. The 4th Edition is based on an extensive survey of faculty, students, and independent readers in 5 institutions from 3 countries. Their feedback led to epanded or new coverage of topics such as deep learning and deep neural networks, including convolutional neural nets, the scale-invariant feature transform (SIFT), maimally-stable etremal regions (MSERs), graph cuts, k-means clustering and superpiels, active contours (snakes and level sets), and eact histogram matching. Major improvements were made in reorganising the material on image transforms into a more cohesive presentation, and in the discussion of spatial kernels and spatial filtering.

General

Imprint:	Pearson Education Limited
Country of origin:	United Kingdom
Release date:	November 2017
First published:	2018
Authors:	Rafael Gonzalez • Richard Woods
Dimensions:	233 x 191 x 30mm (L x W x T)
Format:	Paperback
Pages:	1024
Edition:	4th edition
ISBN-13:	978-1-292-22304-9
Categories:	Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Computing & IT > Applications of computing > Image processing > General
LSN:	1-292-22304-9
Barcode:	9781292223049

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