Fast image processing for optical metrology utilizing heterogeneous computer architectures.
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| Title: | Fast image processing for optical metrology utilizing heterogeneous computer architectures. |
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| Authors: | Reichenbach, Marc1,2 marc.reichenbach@cs.fau.de, Seidler, Ralf1,2 ralf.seidler@uni-jena.de, Pfundt, Benjamin1,2 benjamin.pfundt@cs.fau.de, Fey, Dietmar1,2 dietmar.fey@cs.fau.de |
| Source: | Computers & Electrical Engineering. May2014, Vol. 40 Issue 4, p1158-1170. 13p. |
| Subjects: | Image processing, Metrology, Computer architecture, Pipelines, Graphics processing units, Central processing units, Field programmable gate arrays |
| Abstract: | Highlights: [•] Image processing applications can benefit from heterogeneous computing architectures. [•] Using FPGAs, GPUs and CPUs together enables a fast image processing pipeline. [•] FPGA architectures within smart cameras can increase throughput and decrease latency. [•] The image processing pipeline was demonstrated at the example of optical metrology. [Copyright &y& Elsevier] |
| Copyright of Computers & Electrical Engineering is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 95812669 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Fast image processing for optical metrology utilizing heterogeneous computer architectures. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Reichenbach%2C+Marc%22">Reichenbach, Marc</searchLink><relatesTo>1,2</relatesTo><i> marc.reichenbach@cs.fau.de</i><br /><searchLink fieldCode="AR" term="%22Seidler%2C+Ralf%22">Seidler, Ralf</searchLink><relatesTo>1,2</relatesTo><i> ralf.seidler@uni-jena.de</i><br /><searchLink fieldCode="AR" term="%22Pfundt%2C+Benjamin%22">Pfundt, Benjamin</searchLink><relatesTo>1,2</relatesTo><i> benjamin.pfundt@cs.fau.de</i><br /><searchLink fieldCode="AR" term="%22Fey%2C+Dietmar%22">Fey, Dietmar</searchLink><relatesTo>1,2</relatesTo><i> dietmar.fey@cs.fau.de</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Computers+%26+Electrical+Engineering%22">Computers & Electrical Engineering</searchLink>. May2014, Vol. 40 Issue 4, p1158-1170. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Image+processing%22">Image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Metrology%22">Metrology</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+architecture%22">Computer architecture</searchLink><br /><searchLink fieldCode="DE" term="%22Pipelines%22">Pipelines</searchLink><br /><searchLink fieldCode="DE" term="%22Graphics+processing+units%22">Graphics processing units</searchLink><br /><searchLink fieldCode="DE" term="%22Central+processing+units%22">Central processing units</searchLink><br /><searchLink fieldCode="DE" term="%22Field+programmable+gate+arrays%22">Field programmable gate arrays</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Highlights: [•] Image processing applications can benefit from heterogeneous computing architectures. [•] Using FPGAs, GPUs and CPUs together enables a fast image processing pipeline. [•] FPGA architectures within smart cameras can increase throughput and decrease latency. [•] The image processing pipeline was demonstrated at the example of optical metrology. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Computers & Electrical Engineering is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.compeleceng.2013.09.008 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1158 Subjects: – SubjectFull: Image processing Type: general – SubjectFull: Metrology Type: general – SubjectFull: Computer architecture Type: general – SubjectFull: Pipelines Type: general – SubjectFull: Graphics processing units Type: general – SubjectFull: Central processing units Type: general – SubjectFull: Field programmable gate arrays Type: general Titles: – TitleFull: Fast image processing for optical metrology utilizing heterogeneous computer architectures. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Reichenbach, Marc – PersonEntity: Name: NameFull: Seidler, Ralf – PersonEntity: Name: NameFull: Pfundt, Benjamin – PersonEntity: Name: NameFull: Fey, Dietmar IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 00457906 Numbering: – Type: volume Value: 40 – Type: issue Value: 4 Titles: – TitleFull: Computers & Electrical Engineering Type: main |
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