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Macular lesions extraction using active appearance method

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86099587" target="_blank" >RIV/61989100:27240/16:86099587 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-29236-6_42" target="_blank" >http://dx.doi.org/10.1007/978-3-319-29236-6_42</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-29236-6_42" target="_blank" >10.1007/978-3-319-29236-6_42</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Macular lesions extraction using active appearance method

  • Original language description

    Age-related macular degeneration (ARMD) is one of the most widespread diseases of the eye fundus and is the most common cause of vision loss for those over the age of 60. There are several ways to diagnose ARMD. One of them is the Fundus Autofluorescence (FAF) method, and is one of the modalities of Heidelberg Engineering diagnostic devices. The BluePeakTM modality utilizes the fluorescence of lipofuscin (a pigment in the affected cells) to display the extent of the disease's progression. In clinical practice is often quite complicated to perform assessment of precise parameters macular lesions. The main aim of the article is design of the method which is able to locate and consequently perform extraction of these lesions. The algorithm body is composed of several essential parts: image preprocessing, filtration of interested area and segmentation procedure. In the first step, extraction area of interest is performed. Filtration process should suppress adjacent structures. Final step is segmentation procedure. The main advantage is that the whole process is fully automatic. The result of segmentation is closed curve which is formed iteratively to edges of analyzed object. The resulting curve reflects geometrical parameters of analyzed structure. On the base this fact is quite easy to calculate perimeter and area of analyzed area.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/TG01010137" target="_blank" >TG01010137: PRE SEED Fund of VSB-Technical univerzity of Ostrava</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST. Volume 165

  • ISBN

    978-3-319-29235-9

  • ISSN

    1867-8211

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    438-447

  • Publisher name

    Springer Verlag

  • Place of publication

    London

  • Event location

    Vung Tau

  • Event date

    Nov 26, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article