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Hybrid Soft Computing for Multilevel Image and Data Segmentation Hardback - 2016
by Sourav de; Siddhartha Bhattacharyya; Susanta Chakraborty
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From the publisher
From the rear cover
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.
Details
- Title Hybrid Soft Computing for Multilevel Image and Data Segmentation
- Author Sourav de; Siddhartha Bhattacharyya; Susanta Chakraborty
- Binding Hardback
- Pages 235
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date 2016-11-18
- Illustrated Yes
- Features Illustrated
- ISBN 9783319475233 / 3319475231
- Weight 1.17 lbs (0.53 kg)
- Dimensions 9.21 x 6.14 x 0.63 in (23.39 x 15.60 x 1.60 cm)
- Category Computers - General Information
- Dewey Decimal Code 006.3
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Hybrid Soft Computing for Multilevel Image and Data Segmentation
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