Hybrid soft computing for multilevel image and data segmentation /

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Bibliographic Details
Imprint:Cham, Switzerland : Springer, 2017.
Description:1 online resource
Series:Computational intelligence methods and applications, 2510-1765
Computational intelligence methods and applications.
Subject:Image segmentation.
Soft computing.
COMPUTERS -- General.
Image segmentation.
Soft computing.
Electronic books.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11269506
Hidden Bibliographic Details
Other authors / contributors:De, Sourav, 1979- author.
Bhattacharyya, Siddhartha, 1975- author.
Chakraborty, Susanta, author.
Dutta, Paramartha, author.
Summary: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.
Other form:Print version: 9783319475233 3319475231