About: Comparison of 3D Texture-based Image Descriptors in Fluorescence Microscopy     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
rdfs:seeAlso
Description
  • In recent years, research groups concentrate still more attention on 3D images, especially in the field of biomedical image processing. Adding another dimension enables to capture the entire object. On the other hand, handling 3D images requires also new algorithms, since not all of them can be modified for higher dimensions intuitively. In this article, we introduce a comparison of various implementations of 3D texture descriptors presented in the literature in recent years. We prepared an unified environment to test all of them under the same conditions. From the results of our tests we came to conclusion, that 3D variants of LBP in the combination with k-NN classifier are very strong approach with the classification accuracy more than 99% on selected group of 3D biomedical images.
  • In recent years, research groups concentrate still more attention on 3D images, especially in the field of biomedical image processing. Adding another dimension enables to capture the entire object. On the other hand, handling 3D images requires also new algorithms, since not all of them can be modified for higher dimensions intuitively. In this article, we introduce a comparison of various implementations of 3D texture descriptors presented in the literature in recent years. We prepared an unified environment to test all of them under the same conditions. From the results of our tests we came to conclusion, that 3D variants of LBP in the combination with k-NN classifier are very strong approach with the classification accuracy more than 99% on selected group of 3D biomedical images. (en)
Title
  • Comparison of 3D Texture-based Image Descriptors in Fluorescence Microscopy
  • Comparison of 3D Texture-based Image Descriptors in Fluorescence Microscopy (en)
skos:prefLabel
  • Comparison of 3D Texture-based Image Descriptors in Fluorescence Microscopy
  • Comparison of 3D Texture-based Image Descriptors in Fluorescence Microscopy (en)
skos:notation
  • RIV/00216224:14330/14:00073552!RIV15-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GBP302/12/G157), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 8287
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/14:00073552
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • 3D images; Texture descriptors; Fluorescence microscopy; Local Binary Patterns (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [8CA8AC951900]
http://linked.open...v/mistoKonaniAkce
  • Brno, Czech Republic
http://linked.open...i/riv/mistoVydani
  • Switzerland
http://linked.open...i/riv/nazevZdroje
  • 16th International Workshop on Combinatorial Image Analysis (IWCIA) 2014
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Svoboda, David
  • Majtner, Tomáš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-319-07148-0_17
http://purl.org/ne...btex#hasPublisher
  • Springer International Publishing
https://schema.org/isbn
  • 9783319071473
http://localhost/t...ganizacniJednotka
  • 14330
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software