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Statements

Subject Item
n2:RIV%2F68407700%3A21260%2F01%3A06071529%21RIV%2F2002%2FMSM%2F212602%2FN
rdf:type
n12:Vysledek skos:Concept
dcterms:description
Analysis of multi-spectral data requires new image segmentiation methods using both available domains-spatial and spectral. The paper presents a new approach for the multi-spectral image segmentation based completely on statistical pattern recognition methods. The method combines results obtained in the spatial and spectral domains by combined classifier approach. The algorithm performance is investigated on the multi-spectral images of detergent powders acquired by the method of scanning electron microscopy. A method for the segmentation of images with a similar spectral structure is devised. The stability and quality of the segmentation result is also discussed. Analysis of multi-spectral data requires new image segmentiation methods using both available domains-spatial and spectral. The paper presents a new approach for the multi-spectral image segmentation based completely on statistical pattern recognition methods. The method combines results obtained in the spatial and spectral domains by combined classifier approach. The algorithm performance is investigated on the multi-spectral images of detergent powders acquired by the method of scanning electron microscopy. A method for the segmentation of images with a similar spectral structure is devised. The stability and quality of the segmentation result is also discussed.
dcterms:title
Segmentation of Multi-Spectral Images Using a Combined Classifier Approach Segmentation of Multi-Spectral Images Using a Combined Classifier Approach
skos:prefLabel
Segmentation of Multi-Spectral Images Using a Combined Classifier Approach Segmentation of Multi-Spectral Images Using a Combined Classifier Approach
skos:notation
RIV/68407700:21260/01:06071529!RIV/2002/MSM/212602/N
n3:strany
147;153
n3:aktivita
n18:Z
n3:aktivity
Z(MSM 210000023)
n3:dodaniDat
n16:2002
n3:domaciTvurceVysledku
n14:2197944
n3:druhVysledku
n7:D
n3:duvernostUdaju
n17:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
695388
n3:idVysledku
RIV/68407700:21260/01:06071529
n3:jazykVysledku
n6:eng
n3:klicovaSlova
multi-spectral imaging;image segmentation;classifier combination
n3:klicoveSlovo
n13:image%20segmentation n13:multi-spectral%20imaging n13:classifier%20combination
n3:kontrolniKodProRIV
[5A45BF3C6666]
n3:mistoKonaniAkce
Heijen
n3:mistoVydani
Delft
n3:nazevZdroje
ASCI 2001
n3:obor
n15:BA
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
3
n3:pocetUcastnikuAkce
0
n3:pocetZahranicnichUcastnikuAkce
0
n3:rokUplatneniVysledku
n16:2001
n3:tvurceVysledku
Paclík, Pavel
n3:typAkce
n20:WRD
n3:zahajeniAkce
2001-05-30+02:00
n3:zamer
n4:MSM%20210000023
s:numberOfPages
7
n9:hasPublisher
ASCI
n11:isbn
90-803086-6-8
n19:organizacniJednotka
21260