Hybrid Soft Computing for Multilevel Image and Data Segmentation (Hardcover, 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Computational Intelligence Methods and Applications
Release date:	November 2016
First published:	2016
Authors:	Sourav De • Siddhartha Bhattacharyya • Susanta Chakraborty • Paramartha Dutta
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Hardcover
Pages:	235
Edition:	1st ed. 2016
ISBN-13:	978-3-319-47523-3
Categories:	Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Computing & IT > Applications of computing > Image processing > General
LSN:	3-319-47523-1
Barcode:	9783319475233

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