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Statements

Subject Item
n2:RIV%2F00216224%3A14330%2F14%3A00074031%21RIV15-MSM-14330___
rdf:type
skos:Concept n20:Vysledek
dcterms:description
The pattern recognition with focus on texture and shape analysis is still very hot topic, especially in biomedical image processing. In this article, we introduce 3D extension of well-known approaches for this particular area. We focus on the collection of MPEG-7 image descriptors, specifically on Edge Histogram Descriptor (EHD) and Gabor features, which are core of Homogeneous Texture Descriptor (HTD). The proposed extensions are evaluated on the dataset consisting of three classes of 3D volumetric biomedical images. Two different classifiers, namely $k$-NN and Multi-Class SVM, are used to evaluate the proposed algorithms. According to the presented tests, proposed 3D extensions clearly outperforms their 2D equivalents in the classification tasks. The pattern recognition with focus on texture and shape analysis is still very hot topic, especially in biomedical image processing. In this article, we introduce 3D extension of well-known approaches for this particular area. We focus on the collection of MPEG-7 image descriptors, specifically on Edge Histogram Descriptor (EHD) and Gabor features, which are core of Homogeneous Texture Descriptor (HTD). The proposed extensions are evaluated on the dataset consisting of three classes of 3D volumetric biomedical images. Two different classifiers, namely $k$-NN and Multi-Class SVM, are used to evaluate the proposed algorithms. According to the presented tests, proposed 3D extensions clearly outperforms their 2D equivalents in the classification tasks.
dcterms:title
Texture Analysis Using 3D Gabor Features and 3D MPEG-7 Edge Histogram Descriptor in Fluorescence Microscopy Texture Analysis Using 3D Gabor Features and 3D MPEG-7 Edge Histogram Descriptor in Fluorescence Microscopy
skos:prefLabel
Texture Analysis Using 3D Gabor Features and 3D MPEG-7 Edge Histogram Descriptor in Fluorescence Microscopy Texture Analysis Using 3D Gabor Features and 3D MPEG-7 Edge Histogram Descriptor in Fluorescence Microscopy
skos:notation
RIV/00216224:14330/14:00074031!RIV15-MSM-14330___
n5:aktivita
n12:S n12:P
n5:aktivity
P(GA14-22461S), S
n5:dodaniDat
n11:2015
n5:domaciTvurceVysledku
n13:6909779 n13:6056229
n5:druhVysledku
n6:D
n5:duvernostUdaju
n15:S
n5:entitaPredkladatele
n16:predkladatel
n5:idSjednocenehoVysledku
50192
n5:idVysledku
RIV/00216224:14330/14:00074031
n5:jazykVysledku
n22:eng
n5:klicovaSlova
3D images; Edge Histogram Descriptor; Gabor filters; fluorescence microscopy
n5:klicoveSlovo
n9:Edge%20Histogram%20Descriptor n9:fluorescence%20microscopy n9:3D%20images n9:Gabor%20filters
n5:kontrolniKodProRIV
[5C40DF709A99]
n5:mistoKonaniAkce
Liege, Belgium
n5:mistoVydani
Los Alamitos, California
n5:nazevZdroje
4th International Conference on 3D Imaging (IC3D)
n5:obor
n21:JD
n5:pocetDomacichTvurcuVysledku
2
n5:pocetTvurcuVysledku
2
n5:projekt
n8:GA14-22461S
n5:rokUplatneniVysledku
n11:2014
n5:tvurceVysledku
Svoboda, David Majtner, Tomáš
n5:typAkce
n14:WRD
n5:zahajeniAkce
2014-01-01+01:00
s:numberOfPages
7
n7:doi
10.1109/IC3D.2014.7032576
n19:hasPublisher
IEEE Computer Society
n17:isbn
9781479980239
n10:organizacniJednotka
14330