Image Analysis for Ophthalmological Diagnosis: Image Processing of Corvis® ST Images Using Matlab®
Author:   Robert Koprowski
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2016
Volume:   631
ISBN:  

9783319805955


Pages:   125
Publication Date:   30 March 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Image Analysis for Ophthalmological Diagnosis: Image Processing of Corvis® ST Images Using Matlab®


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Overview

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.

Full Product Details

Author:   Robert Koprowski
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2016
Volume:   631
Dimensions:   Width: 15.50cm , Height: 0.80cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783319805955


ISBN 10:   3319805959
Pages:   125
Publication Date:   30 March 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Image pre-processing.- Main Image processing.- Additional Image Processing and Measurement.- Impact of Image Acquisition and Selection of Algorithm Parameters on the Results.- Summary of Measured Features.- Conclusions.

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