Unsupervised Surface Reflectance Field Multi-segmenter
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00447050" target="_blank" >RIV/67985556:_____/15:00447050 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-23192-1_22" target="_blank" >http://dx.doi.org/10.1007/978-3-319-23192-1_22</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-23192-1_22" target="_blank" >10.1007/978-3-319-23192-1_22</a>
Alternative languages
Result language
angličtina
Original language name
Unsupervised Surface Reflectance Field Multi-segmenter
Original language description
An unsupervised, illumination invariant, multi-spectral, mul/-ti-resolution, multiple-segmenter for textured images with unknown number of classes is presented. The segmenter is based on a weighted combination of several unsupervised segmentation results, each in different resolution, using the modified sum rule. Multi-spectral textured image mosaics are locally represented by eight causal directional multi-spectral random field models recursively evaluated for each pixel. The single-resolution segmentation part of the algorithm is based on the underlying Gaussian mixture model and starts with an over segmented initial estimation which is adaptively modified until the optimal number of homogeneous texture segments is reached. The performance of the presented method is extensively tested on the Prague segmentation benchmark both on the surface reflectance field textures as well as on the static colour textures using the commonest segmentation criteria and compares favourably with severa
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BD - Information theory
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA14-10911S" target="_blank" >GA14-10911S: Mathematical modeling of surface material appearance</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
Computer Analysis of Images and Patterns - CAIP 2015
ISBN
978-3-319-23192-1
ISSN
0302-9743
e-ISSN
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Number of pages
13
Pages from-to
261-273
Publisher name
Springer International Publishing
Place of publication
Switzerland
Event location
Valletta
Event date
Sep 2, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000364705500022