Hybrid Soft Computing for Multilevel Image and Data Segmentation
Language: English
Published by Springer, 2016
Series: Book 1 of 3 - Computational Intelligence Methods and Applications
- Hardcover
- New
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
AbeBooks seller since January 28, 2020
Condition: New
US$ 135.06
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- Title
- Hybrid Soft Computing for Multilevel Image and Data Segmentation
- Author
- De, Sourav; Bhattacharyya, Siddhartha; Chakraborty, Susanta; Dutta, Paramartha
- Publisher
- Springer
- Publication year
- 2016
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3319475231
- ISBN 13
- 9783319475233
- Series
- Book 1 of 3: Computational Intelligence Methods and Applications
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.
"Synopsis" may belong to another edition of this title.
From the Back 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.
"About the title" may belong to another edition of this title.
GreatBookPricesUK
Woodford Green, United Kingdom
AbeBooks seller since January 28, 2020
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