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Machine vision / Wesley Snyder and Hairong Qi.

By: Contributor(s): Material type: TextTextPublication details: Cambridge : Cambridge University Press, 2004.Description: 525 p. : illISBN:
  • 9780521830461 (hbk.) :
  • 052183046X
Subject(s): DDC classification:
  • 006.37 SNY
LOC classification:
  • TA1634 .S69 2004
Contents:
1.Introduction -- 2.Review of mathematical principles -- 3.Writing programs to process images -- 4.Images: formation and representation -- 5.Lindear operators and kernels -- 6.Image relaxation: restoration and feature extraction -- 7.Mathematical morphology -- 8.Segmentation -- 9.Shape -- 10.Consistent labeling -- 11.Parametric transforms -- 12.Graphs and graph-theorectic concepts --13.Image matching -- 14.Statistical pattern recognition -- 15.Clustering -- 16.Syntactic pattern recognition -- 17.Applications -- 18.Automatic target recognition.
Summary: This is an accessible and comprehensive introduction to machine vision. The text provides all the necessary theoretical tools and shows how they are applied in actual image processing and machine vision systems.
Holdings
Item type Current library Call number Vol info Copy number Status Date due Barcode
Long Loan TUS: Midlands, Main Library Athlone General Lending 006.37 SNY (Browse shelf(Opens below)) 1 Available 125286
Long Loan TUS: Midlands, Main Library Athlone General Lending 006.37 SNY (Browse shelf(Opens below)) 1 Available 125285
Long Loan TUS: Midlands, Main Library Athlone CD 006.37 SNY (Browse shelf(Opens below)) CD 507 1 Available 125288
Long Loan TUS: Midlands, Main Library Athlone CD 006.37 SNY (Browse shelf(Opens below)) CD 506 1 Available 125287

Includes CD-ROM.

Includes bibliographical references.

1.Introduction -- 2.Review of mathematical principles -- 3.Writing programs to process images -- 4.Images: formation and representation -- 5.Lindear operators and kernels -- 6.Image relaxation: restoration and feature extraction -- 7.Mathematical morphology -- 8.Segmentation -- 9.Shape -- 10.Consistent labeling -- 11.Parametric transforms -- 12.Graphs and graph-theorectic concepts --13.Image matching -- 14.Statistical pattern recognition -- 15.Clustering -- 16.Syntactic pattern recognition -- 17.Applications -- 18.Automatic target recognition.

This is an accessible and comprehensive introduction to machine vision. The text provides all the necessary theoretical tools and shows how they are applied in actual image processing and machine vision systems.

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