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  • In this paper we present a new pipeline HW architecture for fast 2-D erosions/dilations. The implementation is based on a recently proposed algorithm allowing to process 2-D data in a stream, minimizing the use of memory and drastically reducing the computing latency. These elementary operators can be chained in an efficient pipeline to realize compound morphological operators (opening, closing, ASF filters, etc.) with no intermediate image storage and minimal latency.
  • In this paper we present a new pipeline HW architecture for fast 2-D erosions/dilations. The implementation is based on a recently proposed algorithm allowing to process 2-D data in a stream, minimizing the use of memory and drastically reducing the computing latency. These elementary operators can be chained in an efficient pipeline to realize compound morphological operators (opening, closing, ASF filters, etc.) with no intermediate image storage and minimal latency. (en)
Title
  • Pipeline Architecture for Compound Morphological Operators
  • Pipeline Architecture for Compound Morphological Operators (en)
skos:prefLabel
  • Pipeline Architecture for Compound Morphological Operators
  • Pipeline Architecture for Compound Morphological Operators (en)
skos:notation
  • RIV/49777513:23220/10:00503937!RIV12-MSM-23220___
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  • 279015
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  • RIV/49777513:23220/10:00503937
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  • Mathematical morphology, dilation, alternate sequential filters, hardware, FPGA (en)
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  • [BB8E3132C9FE]
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  • Hong Kong
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  • Hong Kong
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  • Proceedings of 2010 IEEE 17th International Conference on Image Processing
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  • Georgiev, Vjačeslav
  • Bartovský, Jan
  • Dokládal, Petr
  • Dokládalová, Eva
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  • 000287728003206
http://linked.open.../riv/zahajeniAkce
issn
  • 1522-4880
number of pages
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  • 10.1109/ICIP.2010.5653479
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  • IEEE, CMS worldwide
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  • 978-1-4244-7994-8
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  • 23220
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