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Image analysis for ophthalmological diagnosis: image processing of Corvis ST images using Matlab

This monograph focuses on the use of analysis and processing methods for images from the Corvis® ST tonometer. The presented analysis is associated with the quantitative, repeatable and fully automatic evaluation of the response of the eye, eyeball and cornea to an air-puff. All the described algori...

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Detalles Bibliográficos
Autor principal: Koprowski, Robert
Lenguaje:eng
Publicado: Springer 2016
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-29546-6
http://cds.cern.ch/record/2137876
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author Koprowski, Robert
author_facet Koprowski, Robert
author_sort Koprowski, Robert
collection CERN
description This monograph focuses on the use of analysis and processing methods for images from the Corvis® ST tonometer. The presented analysis is associated with the quantitative, repeatable and fully automatic evaluation of the response of the eye, eyeball and cornea to an air-puff. All the described algorithms were practically implemented in MATLAB®. The monograph also describes and provides the full source code designed to perform the discussed calculations. As a result, this monograph is intended for scientists, graduate students and students of computer science and bioengineering as well as doctors wishing to expand their knowledge of modern diagnostic methods assisted by various image analysis and processing methods.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
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spelling cern-21378762021-04-21T19:45:57Zdoi:10.1007/978-3-319-29546-6http://cds.cern.ch/record/2137876engKoprowski, RobertImage analysis for ophthalmological diagnosis: image processing of Corvis ST images using MatlabEngineeringThis monograph focuses on the use of analysis and processing methods for images from the Corvis® ST tonometer. The presented analysis is associated with the quantitative, repeatable and fully automatic evaluation of the response of the eye, eyeball and cornea to an air-puff. All the described algorithms were practically implemented in MATLAB®. The monograph also describes and provides the full source code designed to perform the discussed calculations. As a result, this monograph is intended for scientists, graduate students and students of computer science and bioengineering as well as doctors wishing to expand their knowledge of modern diagnostic methods assisted by various image analysis and processing methods.Springeroai:cds.cern.ch:21378762016
spellingShingle Engineering
Koprowski, Robert
Image analysis for ophthalmological diagnosis: image processing of Corvis ST images using Matlab
title Image analysis for ophthalmological diagnosis: image processing of Corvis ST images using Matlab
title_full Image analysis for ophthalmological diagnosis: image processing of Corvis ST images using Matlab
title_fullStr Image analysis for ophthalmological diagnosis: image processing of Corvis ST images using Matlab
title_full_unstemmed Image analysis for ophthalmological diagnosis: image processing of Corvis ST images using Matlab
title_short Image analysis for ophthalmological diagnosis: image processing of Corvis ST images using Matlab
title_sort image analysis for ophthalmological diagnosis: image processing of corvis st images using matlab
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-29546-6
http://cds.cern.ch/record/2137876
work_keys_str_mv AT koprowskirobert imageanalysisforophthalmologicaldiagnosisimageprocessingofcorvisstimagesusingmatlab