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.

R2,133

Or split into 4x interest-free payments of 25% on orders over R50
Learn more

Discovery Miles21330
Mobicred@R200pm x 12* Mobicred Info
Free Delivery
Delivery AdviceShips in 12 - 17 working days


Toggle WishListAdd to wish list
Review this Item

Product Description

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.

Customer Reviews

Average Rating  (1 Customer)

Product Details

General

Imprint

Pearson Education Limited

Country of origin

United Kingdom

Release date

November 2017

Availability

Expected to ship within 12 - 17 working days

First published

2018

Authors

,

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

Barcode

9781292223049

Categories

LSN

1-292-22304-9



Trending On Loot