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Fast implementation of binary morphological operations on hardware-efficient systolic architectures

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dc.contributor.author Malamas, EN en
dc.contributor.author Malamos, AG en
dc.contributor.author Varvarigou, TA en
dc.date.accessioned 2014-03-01T01:15:37Z
dc.date.available 2014-03-01T01:15:37Z
dc.date.issued 2000 en
dc.identifier.issn 0922-5773 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/13625
dc.subject Morphological Operation en
dc.subject Resource Utilization en
dc.subject.classification Computer Science, Information Systems en
dc.subject.classification Engineering, Electrical & Electronic en
dc.subject.other DECOMPOSITION en
dc.title Fast implementation of binary morphological operations on hardware-efficient systolic architectures en
heal.type journalArticle en
heal.identifier.primary 10.1023/A:1008177620106 en
heal.identifier.secondary http://dx.doi.org/10.1023/A:1008177620106 en
heal.language English en
heal.publicationDate 2000 en
heal.abstract In this paper we present novel systolic architectures for the fast execution of common morphological operations, that is dilation, erosion, closing, and opening. Their novelty stems from the fact that the same unit, the combined Erosion-Dilation Architecture (EDA), is used to perform either dilation, or erosion, or both of them in parallel (depending on control signals). The proposed architectures show a major advantage on using reduced resources for storing the structuring element (SE), lead to full resource utilization, and provide high processing rates. We concentrate on 1-dim structuring elements and present an improved architecture, that performs dilation and erosion in half the time compared to other architectures, using a workload partitioning technique. Furthermore, the amenability of the EDA to VLSI implementation is exemplified by a processor that performs binary morphological operations with 1 x 3 structuring sets. Finally, we show that the modularity of the proposed architectures allows the direct extension to 2-dim morphology. en
heal.publisher KLUWER ACADEMIC PUBL en
heal.journalName JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY en
dc.identifier.doi 10.1023/A:1008177620106 en
dc.identifier.isi ISI:000086532500005 en
dc.identifier.volume 25 en
dc.identifier.issue 1 en
dc.identifier.spage 79 en
dc.identifier.epage 93 en


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