Image Processing and Analysis
Book Details
Format
Paperback / Softback
ISBN-10
1285179528
ISBN-13
9781285179520
Publisher
Cengage Learning, Inc
Imprint
CL Engineering
Country of Manufacture
US
Country of Publication
GB
Publication Date
Jan 1st, 2017
Print length
718 Pages
Weight
1,146 grams
Dimensions
20.40 x 25.30 x 2.80 cms
Product Classification:
Imaging systems & technologySystems analysis & designImage processing
Ksh 15,400.00
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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.
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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