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Image Analysis for Ophthalmological Diagnosis

Image Processing of Corvis® ST Images Using Matlab®

  • Book
  • © 2016

Overview

  • Focuses on the use of analysis and processing methods for images from the Corvis® ST tonometer
  • Applies to the quantitative, repeatable and fully automatic evaluation of the response of the eye, eyeball and cornea to an air-puff
  • Implements all described algorithms in MATLAB®
  • Expands the knowledge of modern diagnostic methods of scientists, students of computer science and bioengineering and doctors
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 631)

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Table of contents (7 chapters)

Keywords

About this book

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.

Authors and Affiliations

  • Fac of CS & Materials Sci, Div of Bio CS, University of Silesia, Sosnowiec, Poland

    Robert Koprowski

Bibliographic Information

  • Book Title: Image Analysis for Ophthalmological Diagnosis

  • Book Subtitle: Image Processing of Corvis® ST Images Using Matlab®

  • Authors: Robert Koprowski

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-29546-6

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG, part of Springer Nature 2016

  • Hardcover ISBN: 978-3-319-29545-9Published: 12 February 2016

  • Softcover ISBN: 978-3-319-80595-5Published: 30 March 2018

  • eBook ISBN: 978-3-319-29546-6Published: 03 February 2016

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XIII, 125

  • Number of Illustrations: 25 b/w illustrations, 48 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Ophthalmology

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