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  • Segmentation is one of the most discussed problems in image processing. Many various methods for image segmentation exist. The mean-shift method is one of them and it was widely developed in recent years and it is still being developed. In this paper, we propose a new method called Layered Mean Shift that uses multiple mean-shift segmentations with different bandwidths stacked for elimination of the over-segmentation problem and finding the most appropriate segment boundaries. This method effectively reduces the need for the use of large kernels in the mean-shift method. Therefore, it also significantly reduces the computational complexity
  • Segmentation is one of the most discussed problems in image processing. Many various methods for image segmentation exist. The mean-shift method is one of them and it was widely developed in recent years and it is still being developed. In this paper, we propose a new method called Layered Mean Shift that uses multiple mean-shift segmentations with different bandwidths stacked for elimination of the over-segmentation problem and finding the most appropriate segment boundaries. This method effectively reduces the need for the use of large kernels in the mean-shift method. Therefore, it also significantly reduces the computational complexity (en)
Title
  • Layered mean shift methods
  • Layered mean shift methods (en)
skos:prefLabel
  • Layered mean shift methods
  • Layered mean shift methods (en)
skos:notation
  • RIV/61989100:27240/13:86088520!RIV14-MSM-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 84441
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/13:86088520
http://linked.open...riv/jazykVysledku
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  • segmentation; over-segmentation; mean shift; layer; image (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [85D13A75A9DF]
http://linked.open...v/mistoKonaniAkce
  • Leibnitz
http://linked.open...i/riv/mistoVydani
  • Berlin
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  • Lecture Notes in Computer Science. Volume 7893
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http://linked.open...UplatneniVysledku
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  • Fusek, Radovan
  • Mozdřeň, Karel
  • Sojka, Eduard
  • Šurkala, Milan
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-38267-3_39
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  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-38266-6
http://localhost/t...ganizacniJednotka
  • 27240
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