Machine vision
"This book is an accessible and comprehensive introduction to machine vision. It provides all the necessary theoretical tools and show how they are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises that give insights into the development of practical image processing algorithms." "A CDROM containing software and data used in the book is included. The book is aimed at graduate students in electrical engineering, computer s…
Read More ↓Title Statements
- Full title :Machine vision / Wesley E. Snyder, Hairong Qi.
Summary
"This book is an accessible and comprehensive introduction to machine vision. It provides all the necessary theoretical tools and show how they are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises that give insights into the development of practical image processing algorithms." "A CDROM containing software and data used in the book is included. The book is aimed at graduate students in electrical engineering, computer science, and mathematics. It will also be a useful reference for practitioners."--Jacket.
Read More ↓Edition Statements
- Publication Date:©2004.
Publication Statements
- Publisher(s):Cambridge University Press
- Place of Publication:Cambridge, UK
- Language:eng
- Publication Date:©2004.
The Physical Object
- Description:1 online resource (xviii, 433 pages) : : illustrations
Edition Identifiers
- ISBN:9780511992360, 051199236X, 9780511988578, 0511988575
- oclc:ocn706489172
- LC Classification:TA1634
- Dewey Decimal:006.3/7
Table of Contents
Review of mathematical principles -- Writing programs to process images -- Images : formation and representation -- Linear operators and kernels -- Image relaxation : restoration and feature extraction -- Mathematical morphology -- Segmentation -- Shape -- Consistent labeling -- Parametric transforms -- Graphs and graph-theoretic concepts -- Image matching -- Statistical pattern recognition -- Clustering -- Syntactic pattern recognition -- Applications -- Automatic target recognition.
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