Simple and Efficient Method of Low-Contrast Grayscale Image Binarization
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F16%3A43929354" target="_blank" >RIV/49777513:23520/16:43929354 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-46418-3_13" target="_blank" >http://dx.doi.org/10.1007/978-3-319-46418-3_13</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-46418-3_13" target="_blank" >10.1007/978-3-319-46418-3_13</a>
Alternative languages
Result language
angličtina
Original language name
Simple and Efficient Method of Low-Contrast Grayscale Image Binarization
Original language description
This paper describes a simple analytic method for determining an optimal threshold position during low-contrast grayscale image binarization. The described method uses no tunable or user-set parameters and is invariant to both image size and pixel intensity value range. It uses both the pixel intensity histogram of the analysed image and its first-order derivative to estimate the threshold position. There is an assumption that the histogram is bimodal by its nature, however, the method can cope with the histograms where the peaks are very close or even overlapping due to low contrast. The method performance is comparable with the traditionally used Otsu's method on unproblematic images, however, it significantly outperforms Otsu's on specific images, like e.g. electron microscopy of composite material fibres or x-ray mammography, where the bimodal histogram is almost (but not entirely) collapsed into unimodal.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</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
Computer Vision and Graphics
ISBN
978-3-319-46417-6
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
142-150
Publisher name
Springer
Place of publication
Heidelberg
Event location
Varšava
Event date
Sep 19, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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