Color normalization for robust evaluation of microscopy images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F15%3A43899542" target="_blank" >RIV/60461373:22340/15:43899542 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/15:00235502 RIV/00023001:_____/15:00059744
Result on the web
<a href="http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=2444273" target="_blank" >http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=2444273</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2188236" target="_blank" >10.1117/12.2188236</a>
Alternative languages
Result language
angličtina
Original language name
Color normalization for robust evaluation of microscopy images
Original language description
This paper deals with color normalization of microscopy images of Langerhans islets in order to increase robustness of the islet segmentation to illumination changes. The main application is automatic quantitative evaluation of the islet parameters, useful for determining the feasibility of islet transplantation in diabetes. First, background illumination inhomogeneity is compensated and a preliminary foreground/background segmentation is performed. The color normalization itself is done in either l?? or logarithmic RGB color spaces, by comparison with a reference image. The color-normalized images are segmented using color-based features and pixel-wise logistic regression, trained on manually labeled images. Finally, relevant statistics such as the total islet area are evaluated in order to determine the success likelihood of the transplantation. The robustness of the evaluation is increased dramatically by the color normalization, decreasing the image-wise failure rate from 17 % to 0
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/GA14-10440S" target="_blank" >GA14-10440S: Automatic analysis of microscopy images of Langerhans islets</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of SPIE Volume 9599 Applications of Digital Image
ISBN
978-1-62841-765-4
ISSN
0277-786X
e-ISSN
—
Number of pages
6
Pages from-to
"95992F-1"-"95992F-6"
Publisher name
SPIE
Place of publication
Bellingham, Washington
Event location
San Diego
Event date
Aug 10, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000366385200071