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| rdf:type
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| Description
| - A novel model for unsupervised segmentation of texture images is presented. The image to be segmented is first discretized and then a hierarchical finite-state region-based model is automatically coupled with the data by means of a sequential optimization scheme, namely the Texture Fragmentation and Reconstruction (TFR) algorithm. Both intra- and inter-texture interactions are modeled, by means of an underlying hierarchical finite-state model, and eventually the segmentation task is addressed in a completely unsupervised manner. The output is then a nested segmentation, so that the user may decide the scale at which the segmentation has to be provided. TFR is composed of two steps: the former focuses on the estimation of the states at the finest level of the hierarchy, and is associated with an image fragmentation, or over-segmentation; the latter deals with the reconstruction of the hierarchy representing the textural interaction at different scales.
- A novel model for unsupervised segmentation of texture images is presented. The image to be segmented is first discretized and then a hierarchical finite-state region-based model is automatically coupled with the data by means of a sequential optimization scheme, namely the Texture Fragmentation and Reconstruction (TFR) algorithm. Both intra- and inter-texture interactions are modeled, by means of an underlying hierarchical finite-state model, and eventually the segmentation task is addressed in a completely unsupervised manner. The output is then a nested segmentation, so that the user may decide the scale at which the segmentation has to be provided. TFR is composed of two steps: the former focuses on the estimation of the states at the finest level of the hierarchy, and is associated with an image fragmentation, or over-segmentation; the latter deals with the reconstruction of the hierarchy representing the textural interaction at different scales. (en)
- Nový model neřízené segmentace texturních obrazů je studován v článku. Segmentovaný obraz se nejprve diskretizuje a potom hierarchický model s konečnými stavy je automaticky naučen na datech pomocí sekvenčního optimalizačního algoritmu nazvaného Texture Fragmentation and Reconstruction (TFR) algoritmus. Jak intra, tak inter texturní interakce jsou modelovány pomocí tohoto hierarchického modelu s konečnými stavy a segmentace je uskutečněna zcela neřízeným způsobem. Výsledkem je hierarchická segmentace, kde se uživatel může rozhodnout pro její měřítko. TFR se skládá ze dvou kroků, odhadu stavů a obrazové fragmentace. (cs)
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| Title
| - A Hierarchical Finite-State Model for Texture Segmentation
- A Hierarchical Finite-State Model for Texture Segmentation (en)
- Hierarchický model s konečnými stavy pro segmentaci textur (cs)
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| skos:prefLabel
| - A Hierarchical Finite-State Model for Texture Segmentation
- A Hierarchical Finite-State Model for Texture Segmentation (en)
- Hierarchický model s konečnými stavy pro segmentaci textur (cs)
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| skos:notation
| - RIV/67985556:_____/07:00083357!RIV08-AV0-67985556
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| http://linked.open.../vavai/riv/strany
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| http://linked.open...avai/riv/aktivita
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| http://linked.open...avai/riv/aktivity
| - P(1ET400750407), R, Z(AV0Z10750506)
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| http://linked.open...vai/riv/dodaniDat
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| http://linked.open...aciTvurceVysledku
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| http://linked.open.../riv/druhVysledku
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| http://linked.open...iv/duvernostUdaju
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| http://linked.open...titaPredkladatele
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| http://linked.open...dnocenehoVysledku
| |
| http://linked.open...ai/riv/idVysledku
| - RIV/67985556:_____/07:00083357
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| http://linked.open...riv/jazykVysledku
| |
| http://linked.open.../riv/klicovaSlova
| - image segmentation; texture; Markov random fields (en)
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| http://linked.open.../riv/klicoveSlovo
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| http://linked.open...ontrolniKodProRIV
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| http://linked.open...v/mistoKonaniAkce
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| http://linked.open...i/riv/mistoVydani
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| http://linked.open...i/riv/nazevZdroje
| - IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'07) /32./
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| http://linked.open...in/vavai/riv/obor
| |
| http://linked.open...ichTvurcuVysledku
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| http://linked.open...cetTvurcuVysledku
| |
| http://linked.open...vavai/riv/projekt
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| http://linked.open...UplatneniVysledku
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| http://linked.open...iv/tvurceVysledku
| - Haindl, Michal
- Scarpa, G.
- Zerubia, J.
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| http://linked.open...vavai/riv/typAkce
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| http://linked.open.../riv/zahajeniAkce
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| http://linked.open...n/vavai/riv/zamer
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| issn
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| number of pages
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| http://purl.org/ne...btex#hasPublisher
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| is http://linked.open...avai/riv/vysledek
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