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Digital image processing

By: Contributor(s): Material type: TextTextLanguage: ENG Publication details: Noida: Pearson India Education Services Pvt. Ltd, c2018.Edition: 4th edDescription: 1019p. : ill, pbk. ; 25cmISBN:
  • 9789353062989
Subject(s): DDC classification:
  • 621.367 GON 23rd
Summary: The fourth edition of , which celebrates the book's 40th anniversary, continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing. It focuses on material that is fundamental and has a broad scope of application. Features:- 1. Coverage of graph cuts and their application to segmentation. 2. A discussion of superpixels and their use in region segmentation. 3. 425 new images, 135 new drawings, 220 new exercises and 120 MATLAB projects. 4. Two new chapters: a. A chapter dealing with active contours for image segmentation, including snakes and level sets. b. A chapter that brings together wavelets, several new transforms, and many of the image transforms that were scattered throughout the book. 5. A complete update of the image pattern recognition chapter to incorporate new material on deep neural networks, backpropagation, deep learning, and especially, deep convolutional neural networks. 6. Coverage of feature extraction, including the Scale Invariant Feature Transform (SIFT, maximally stable extremal regions (MSERs), and corner detection. 7. Coverage of the fundamentals of spatial filtering, image transforms, and finite differences with a focus on edge detection." Akso includes illustrations, bibliography and index.
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Item type Current library Call number Status Date due Barcode
Books Books Vigyanpuri Campus 621.367 GON (Browse shelf(Opens below)) Available 007168

The fourth edition of , which celebrates the book's 40th anniversary, continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing. It focuses on material that is
fundamental and has a broad scope of application.

Features:-
1. Coverage of graph cuts and their application to segmentation.
2. A discussion of superpixels and their use in region segmentation.
3. 425 new images, 135 new drawings, 220 new exercises and 120 MATLAB projects.
4. Two new chapters:
a. A chapter dealing with active contours for image segmentation, including snakes and level sets.
b. A chapter that brings together wavelets, several new transforms, and many of the image transforms that were scattered throughout the book.
5. A complete update of the image pattern recognition chapter to incorporate new material on deep neural networks, backpropagation, deep learning, and especially, deep convolutional neural networks.
6. Coverage of feature extraction, including the Scale Invariant Feature Transform (SIFT, maximally stable extremal regions (MSERs), and corner detection.
7. Coverage of the fundamentals of spatial filtering, image transforms, and finite differences with a focus on edge detection."

Akso includes illustrations, bibliography and index.

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