About: Segmentation of Multi-Spectral Images Using a Combined Classifier Approach     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
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. (en)
Title
  • Segmentation of Multi-Spectral Images Using a Combined Classifier Approach
  • Segmentation of Multi-Spectral Images Using a Combined Classifier Approach (en)
skos:prefLabel
  • Segmentation of Multi-Spectral Images Using a Combined Classifier Approach
  • Segmentation of Multi-Spectral Images Using a Combined Classifier Approach (en)
skos:notation
  • RIV/68407700:21260/01:06071529!RIV/2002/MSM/212602/N
http://linked.open.../vavai/riv/strany
  • 147;153
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 210000023)
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
  • 695388
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21260/01:06071529
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • multi-spectral imaging;image segmentation;classifier combination (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [5A45BF3C6666]
http://linked.open...v/mistoKonaniAkce
  • Heijen
http://linked.open...i/riv/mistoVydani
  • Delft
http://linked.open...i/riv/nazevZdroje
  • ASCI 2001
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
http://linked.open...nichUcastnikuAkce
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Paclík, Pavel
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • ASCI
https://schema.org/isbn
  • 90-803086-6-8
http://localhost/t...ganizacniJednotka
  • 21260
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, 38 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software