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Image processing analysis

By: Birchfield, Stan
Material type: BookPublisher: Boston : Cengage Learning, c2018.Description: xviii, 718 p. : ill. ; 26 cm.ISBN: 9781285179520Subject(s): Image processing | Medical imagingDDC classification: 621.367 BI IM Online resources: Location Map
Summary:
Gain a firm understanding of image processing as you cover the major topics of the field using a balanced approach that progresses from simple explanations to more detailed descriptions within IMAGE PROCESSING AND ANALYSIS. This easy-to-follow, accessible book emphasizes a basic, fundamental understanding of the classic algorithms in the field while also highlighting recent research results. You can grasp the subtle tradeoffs among different approaches as well as understand them in context with the latest developments in the field. Numerous full-color illustrations and detailed pseudocode bridge the gap between mathematical equations underlying the important concepts and real-world application of those concepts. This understanding makes it easier for you to program your own implementations of these algorithms. In addition, consistent notation throughout this edition makes it easier to follow the various concepts.
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Item type Home library Call number Status Date due Barcode Item holds
REGULAR University of Wollongong in Dubai
Main Collection 		621.367 BI IM (Browse shelf) Checked out 02/10/2020 T0058564
Total holds: 0

1.1.Image Processing and Analysis
2.1.Vision in Nature
3.1.Simple Geometric Transformations
4.1.Morphological Operations
5.1.Convolution
6.1.Fourier Transform
7.1.Multiresolution Processing
8.1.Basics
9.1.Physics and Psychology of Color
10.1.Thresholding
11.1.Fitting Lines and Planes
12.1.Fundamentals
13.1.Human Stereopsis

Gain a firm understanding of image processing as you cover the major topics of the field using a balanced approach that progresses from simple explanations to more detailed descriptions within IMAGE PROCESSING AND ANALYSIS. This easy-to-follow, accessible book emphasizes a basic, fundamental understanding of the classic algorithms in the field while also highlighting recent research results. You can grasp the subtle tradeoffs among different approaches as well as understand them in context with the latest developments in the field. Numerous full-color illustrations and detailed pseudocode bridge the gap between mathematical equations underlying the important concepts and real-world application of those concepts. This understanding makes it easier for you to program your own implementations of these algorithms. In addition, consistent notation throughout this edition makes it easier to follow the various concepts.

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