Feature extraction and image processing / Mark S. Nixon, Alberto S. Aguado.

By:

Nixon, Mark S

Contributor(s):

Material type: Text

TextPublication details: Oxford ; Boston : Newnes, 2002.Edition: 1st edDescription: 1 online resource (xii, 350 pages) : illustrationsContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9780080506258
0080506259

Subject(s):

Genre/Form:

Additional physical formats: Print version:: Feature extraction and image processing.DDC classification:

006.37 22

LOC classification:

TA1637 .N596 2002eb

Other classification:

54.74

Online resources:

Click here to access online

Contents:

Front Cover; Feature Extraction and Image Processing; Copyright Page; Contents; Preface; Chapter 1. Introduction; Chapter 2. Images, sampling and frequency domain processing; Chapter 3. Basic image processing operations; Chapter 4. Low-level feature extraction (including edge detection); Chapter 5. Feature extraction by shape matching; Chapter 6. Flexible shape extraction (snakes and other techniques); Chapter 7. Object description; Chapter 8. Introduction to texture description, segmentation and classification; Chapter 9. Appendices; Index.

Action note:

digitized 2010 HathiTrust Digital Library committed to preserve

Summary: Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals. This is an ideal module text for courses in artificial intelligence, image processing and computer vision. It is an essential reading for engineers and academics working in this cutting-edge field. It is supported by free software on a companion website.

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Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books EBSCO			Available

Includes bibliographical references and index.

Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals. This is an ideal module text for courses in artificial intelligence, image processing and computer vision. It is an essential reading for engineers and academics working in this cutting-edge field. It is supported by free software on a companion website.

Print version record.

Use copy Restrictions unspecified star MiAaHDL

Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010. MiAaHDL

Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. MiAaHDL