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Hybrid Soft Computing for Multilevel Image and Data Segmentation (2016)

Contributor(s): de, Sourav (Author), Bhattacharyya, Siddhartha (Author), Chakraborty, Susanta (Author), Dutta, Paramartha (Author)

ISBN: 9783319475233

Publisher: Springer

Hardcover
$109.99
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Pub Date: November 18, 2016

Dewey: 006.3

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 0.63" H x 9.21" L x 6.14" W ( 1.17 lbs) 235 pages

Series: Computational Intelligence Methods and Applications

Descriptions, Reviews, etc.

Description:

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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