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Hybrid Soft Computing for Multilevel Image and Data Segmentation
Hybrid Soft Computing for Multilevel Image and Data Segmentation
Knygos.lt klubas Knygos.lt nariams
153,98 €
-35%
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236,89 €
  • Išsiųsime per 12–18 d.d.
This book explains efficient solutions for segmenting the intensity levels of different types of multilevel images. The authors present hybrid soft computing techniques, which have advantages over conventional soft computing solutions as they incorporate data heterogeneity into the clustering/segmentation procedures.This is a useful introduction and reference for researchers and graduate students of computer science and electronics engineering, particularly in the domains of image processing an…
  • Leidėjas:
  • ISBN-10: 3319475231
  • ISBN-13: 9783319475233
  • Formatas: 15.6 x 23.4 x 1.6 cm, kieti viršeliai
  • Kalba: Anglų

Hybrid Soft Computing for Multilevel Image and Data Segmentation (el. knyga) (skaityta knyga) | knygos.lt

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This book explains efficient solutions for segmenting the intensity levels of different types of multilevel images. The authors present hybrid soft computing techniques, which have advantages over conventional soft computing solutions as they incorporate data heterogeneity into the clustering/segmentation procedures.

This is a useful introduction and reference for researchers and graduate students of computer science and electronics engineering, particularly in the domains of image processing and computational intelligence.

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  • Autorius: Sourav De
  • Leidėjas:
  • ISBN-10: 3319475231
  • ISBN-13: 9783319475233
  • Formatas: 15.6 x 23.4 x 1.6 cm, kieti viršeliai
  • Kalba: Anglų

This book explains efficient solutions for segmenting the intensity levels of different types of multilevel images. The authors present hybrid soft computing techniques, which have advantages over conventional soft computing solutions as they incorporate data heterogeneity into the clustering/segmentation procedures.

This is a useful introduction and reference for researchers and graduate students of computer science and electronics engineering, particularly in the domains of image processing and computational intelligence.

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