Illumination Invariants Based on Markov Random Fields

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F10%3A00343263" target="_blank" >RIV/67985556:_____/10:00343263 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31160/10:00036192
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Illumination Invariants Based on Markov Random Fields
Original language description
Content-based image retrieval systems (CBIR) typically query large image databases based on some automatically generated colour and textural features. Optimal robust features should be geometry and illumination invariant. Although image retrieval has been an active research area for many years this difficult problem is still far from being solved. We introduce fast and robust textural features that allow retrieving images with similar scenes comprising colour textured objects viewed with different illumination. The proposed textural features that are invariant to illumination spectrum and extremely robust to illumination direction. They require only a single training image per texture and no knowledge of illumination direction, brightness or spectrum.These feature utilises utilise illumination invariant features extracted from three different Markov random field (MRF) based texture representations.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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