Druck auf Anfrage Neuware - Printed after ordering - 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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Bibliographic Details

Title

Hybrid Soft Computing for Multilevel Image and Data Segmentation

Publisher

Springer International Publishing, Springer International Publishing

Publication Date

2018

Language

English

ISBN 10

3319837583

ISBN 13

9783319837581

Binding

Taschenbuch

Condition

Neu

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Synopsis

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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