Multi-Spectral Image Segmentation Algorithm Combining Spatial and Spectral Information

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F01%3A06071525" target="_blank" >RIV/68407700:21260/01:06071525 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Multi-Spectral Image Segmentation Algorithm Combining Spatial and Spectral Information

Popis výsledku v původním jazyce

To segment multi-spectral images new methods are required which operate both in spectral and spatial domains and work with a high-dimensional data. We are presenting a new segmentation method that is built from standard statistical pattern recognition algorithms. It integrates spestral and spatial domain information by a combined classifier approach. We have studied the algorithm performance on real multi-spectral images of detergent powders acquired by the method of scanning electron microscopy. The use of apriori information for the segmentation of images with the similar spectral properties is investigated. The algorithm stability and the measure of segmentation quality are discussed as well. The proposed method appears to be a robust solution for the multi-spectral image segmentation.

Název v anglickém jazyce

Multi-Spectral Image Segmentation Algorithm Combining Spatial and Spectral Information

Popis výsledku anglicky

To segment multi-spectral images new methods are required which operate both in spectral and spatial domains and work with a high-dimensional data. We are presenting a new segmentation method that is built from standard statistical pattern recognition algorithms. It integrates spestral and spatial domain information by a combined classifier approach. We have studied the algorithm performance on real multi-spectral images of detergent powders acquired by the method of scanning electron microscopy. The use of apriori information for the segmentation of images with the similar spectral properties is investigated. The algorithm stability and the measure of segmentation quality are discussed as well. The proposed method appears to be a robust solution for the multi-spectral image segmentation.

Druh

D - Stať ve sborníku

CEP obor

BA - Obecná matematika

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2001

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

SCIA 2001

ISBN

82-995940-0-6

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

230-235

Název nakladatele

NOBIM

Místo vydání

Bergen

Místo konání akce

Bergen

Datum konání akce

11. 6. 2001

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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