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Image Engineering. Volume 2, Image Analysis.

By: Zhang, Yujin [author.].
Contributor(s): Tsinghua University Press.
Material type: materialTypeLabelBookSeries: De Gruyter Textbook ; Volume 2.Publisher: Berlin ; Boston : De Gruyter, [2017]Copyright date: ©2017Description: 1 online resource (XII, 298 p.).Content type: text Media type: computer Carrier type: online resourceISBN: 9783110524123.Subject(s): Technology & Engineering / Signals & Signal ProcessingAdditional physical formats: No title; No titleDDC classification: 621.4 Online resources: Click here to access online | Click here to access online | Cover
Contents:
Frontmatter -- Preface -- Contents -- 1. Introduction to Image Analysis -- 2. Image Segmentation -- 3. Object Representation and Description -- 4. Feature Measurement and Error Analysis -- 5. Texture Analysis -- 6. Shape Analysis -- 7. Motion Analysis -- 8. Mathematical Morphology -- Answers to Selected Problems and Questions -- References -- Index
Title is part of eBook package:DG Plus eBook-Package 2017Title is part of eBook package:EBOOK PACKAGE COMPLETE 2017Title is part of eBook package:EBOOK PACKAGE COMPLETE ENGLISH 2017Title is part of eBook package:EBOOK PACKAGE Engineering, Computer Sciences 2017Summary: This graduate textbook presents fundamentals, applications and evaluation of image segregation, unit description, feature measurement and pattern recognition. Analysis on textile, shape and motion are discussed and mathematical tools are employed extensively. Rich in examples and excises, it prepares electrical engineering and computer science students with knowledge and skills for further studies on image understanding.
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Frontmatter -- Preface -- Contents -- 1. Introduction to Image Analysis -- 2. Image Segmentation -- 3. Object Representation and Description -- 4. Feature Measurement and Error Analysis -- 5. Texture Analysis -- 6. Shape Analysis -- 7. Motion Analysis -- 8. Mathematical Morphology -- Answers to Selected Problems and Questions -- References -- Index

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This graduate textbook presents fundamentals, applications and evaluation of image segregation, unit description, feature measurement and pattern recognition. Analysis on textile, shape and motion are discussed and mathematical tools are employed extensively. Rich in examples and excises, it prepares electrical engineering and computer science students with knowledge and skills for further studies on image understanding.

Mode of access: Internet via World Wide Web.

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Aug 2021)

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