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Machine vision: automated visual inspection theory, practice and applications
The book offers a thorough introduction to machine vision. It is organized in two parts. The first part covers the image acquisition, which is the crucial component of most automated visual inspection systems. All important methods are described in great detail and are presented with a reasoned stru...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
Springer
2016
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-662-47794-6 http://cds.cern.ch/record/2146520 |
_version_ | 1780950344328544256 |
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author | Beyerer, Jürgen Puente León, Fernando Frese, Christian |
author_facet | Beyerer, Jürgen Puente León, Fernando Frese, Christian |
author_sort | Beyerer, Jürgen |
collection | CERN |
description | The book offers a thorough introduction to machine vision. It is organized in two parts. The first part covers the image acquisition, which is the crucial component of most automated visual inspection systems. All important methods are described in great detail and are presented with a reasoned structure. The second part deals with the modeling and processing of image signals and pays particular regard to methods, which are relevant for automated visual inspection. |
id | cern-2146520 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2016 |
publisher | Springer |
record_format | invenio |
spelling | cern-21465202021-04-21T19:43:41Zdoi:10.1007/978-3-662-47794-6http://cds.cern.ch/record/2146520engBeyerer, JürgenPuente León, FernandoFrese, ChristianMachine vision: automated visual inspection theory, practice and applicationsEngineeringThe book offers a thorough introduction to machine vision. It is organized in two parts. The first part covers the image acquisition, which is the crucial component of most automated visual inspection systems. All important methods are described in great detail and are presented with a reasoned structure. The second part deals with the modeling and processing of image signals and pays particular regard to methods, which are relevant for automated visual inspection.Springeroai:cds.cern.ch:21465202016 |
spellingShingle | Engineering Beyerer, Jürgen Puente León, Fernando Frese, Christian Machine vision: automated visual inspection theory, practice and applications |
title | Machine vision: automated visual inspection theory, practice and applications |
title_full | Machine vision: automated visual inspection theory, practice and applications |
title_fullStr | Machine vision: automated visual inspection theory, practice and applications |
title_full_unstemmed | Machine vision: automated visual inspection theory, practice and applications |
title_short | Machine vision: automated visual inspection theory, practice and applications |
title_sort | machine vision: automated visual inspection theory, practice and applications |
topic | Engineering |
url | https://dx.doi.org/10.1007/978-3-662-47794-6 http://cds.cern.ch/record/2146520 |
work_keys_str_mv | AT beyererjurgen machinevisionautomatedvisualinspectiontheorypracticeandapplications AT puenteleonfernando machinevisionautomatedvisualinspectiontheorypracticeandapplications AT fresechristian machinevisionautomatedvisualinspectiontheorypracticeandapplications |