MTU Library Catalogue

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Digital image processing / Rafael C. Gonzalez and Richard E. Woods.

By: Gonzalez, Rafael C [author].
Contributor(s): Woods, Richard E. (Richard Eugene), 1954- [author].
Material type: materialTypeLabelBookPublisher: New York, NY : Pearson, [2018]Copyright date: ©2018Edition: Fourth edition; Global edition.Description: xvi, 1168 pages : illustrations (some color) ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781292223049 (paperback); 1292223049 (paperback); 9780133356724 (hardback).Subject(s): Image processing -- Digital techniquesDDC classification: 621.36/7
Contents:
What is digital image processing? -- Digital image fundamentals -- Intensity transformations and spatial filtering -- Filtering in the frequency domain -- Image restoration and reconstruction -- Color image processing -- Wavelet and other image transforms -- Image compression and watermarking -- Morphological image processing -- Image segmentation -- Feature extraction -- Image pattern classification.
Holdings
Item type Current library Call number Status Notes Barcode
General lending MTU Bishopstown Library Lending 621.36/7 (Browse shelf(Opens below)) Available MTU Cork Module MANU8016-Recommended reading. MTU Cork Module ELTR8022-Recommended reading. MTU Cork Module COMP9074-Supplementary reading. 00198055
Total holds: 0

Enhanced descriptions from Syndetics:

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.

Includes bibliographical references and index.

What is digital image processing? -- Digital image fundamentals -- Intensity transformations and spatial filtering -- Filtering in the frequency domain -- Image restoration and reconstruction -- Color image processing -- Wavelet and other image transforms -- Image compression and watermarking -- Morphological image processing -- Image segmentation -- Feature extraction -- Image pattern classification.

MTU Cork Module MANU8016 - Recommended reading.

MTU Cork Module ELTR8022 - Recommended reading.

MTU Cork Module COMP9074 - Supplementary reading.