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Statements

Subject Item
n2:RIV%2F49777513%3A23220%2F12%3A43921768%21RIV14-MSM-23220___
rdf:type
skos:Concept n5:Vysledek
dcterms:description
This paper deals with a dedicated hardware architecture for 1-D morphological opening and pattern spectrum. These operators allow extraction and measurement of 1-D features in images that is a commonly used technique in image analysis and texture classification. The architecture is based on a recently proposed opening algorithm and makes it possible to obtain arbitrary-oriented opening and granulometry at the same time. Respecting a sequential data access, several instances with different orientation can run in parallel on a single input dataflow, increasing thus the performance (experimentally 414 Mpx/s per opening). It opens applicability of traditionally costly operators in embedded, industrial applications. This paper deals with a dedicated hardware architecture for 1-D morphological opening and pattern spectrum. These operators allow extraction and measurement of 1-D features in images that is a commonly used technique in image analysis and texture classification. The architecture is based on a recently proposed opening algorithm and makes it possible to obtain arbitrary-oriented opening and granulometry at the same time. Respecting a sequential data access, several instances with different orientation can run in parallel on a single input dataflow, increasing thus the performance (experimentally 414 Mpx/s per opening). It opens applicability of traditionally costly operators in embedded, industrial applications.
dcterms:title
Efficient FPGA architecture for oriented 1-D opening and pattern spectrum Efficient FPGA architecture for oriented 1-D opening and pattern spectrum
skos:prefLabel
Efficient FPGA architecture for oriented 1-D opening and pattern spectrum Efficient FPGA architecture for oriented 1-D opening and pattern spectrum
skos:notation
RIV/49777513:23220/12:43921768!RIV14-MSM-23220___
n5:predkladatel
n6:orjk%3A23220
n3:aktivita
n8:S n8:P
n3:aktivity
P(ED2.1.00/03.0094), S
n3:dodaniDat
n7:2014
n3:domaciTvurceVysledku
n13:4622537
n3:druhVysledku
n16:D
n3:duvernostUdaju
n22:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
133564
n3:idVysledku
RIV/49777513:23220/12:43921768
n3:jazykVysledku
n12:eng
n3:klicovaSlova
pattern spectrum; opening, granulometry; hardware implementation; mathematical morphology
n3:klicoveSlovo
n4:opening n4:hardware%20implementation n4:granulometry n4:pattern%20spectrum n4:mathematical%20morphology
n3:kontrolniKodProRIV
[63579E283C6E]
n3:mistoKonaniAkce
Lake Buena Vista, Florida, USA
n3:mistoVydani
Lake Buena Vista, Florida
n3:nazevZdroje
Proceedings of the 19th International conference on image processing
n3:obor
n20:JA
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
4
n3:projekt
n19:ED2.1.00%2F03.0094
n3:rokUplatneniVysledku
n7:2012
n3:tvurceVysledku
Bartovský, Jan Akil, Mohamed Dokladal, Petr Dokladalova, Eva
n3:typAkce
n15:WRD
n3:wos
000319334901189
n3:zahajeniAkce
2012-09-30+02:00
s:issn
1522-4880
s:numberOfPages
4
n17:hasPublisher
IEEE
n18:isbn
978-1-4673-2533-2
n21:organizacniJednotka
23220