Hybrid Soft Computing for Image Segmentation
Editors: Bhattacharyya, S., Dutta, P., De, S., Klepac, G. (Eds.)
Free Preview- Topic important in applications such as image processing, image mining, video surveillance, and intelligent transportation systems
- Valuable for researchers and graduate students in the domains of image processing and computational intelligence
- Contributions examine strengths and weaknesses of the approaches
Buy this book
- About this book
-
This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling real-life problems that involve uncertainty; artificial neural networks, usually applied for machine cognition, learning, and recognition; and evolutionary computation, mainly used for search, exploration, efficient exploitation of contextual information, and optimization.
The contributed chapters discuss both the strengths and the weaknesses of the approaches, and the book will be valuable for researchers and graduate students in the domains of image processing and computational intelligence.
- Table of contents (12 chapters)
-
-
Hybrid Swarms Optimization Based Image Segmentation
Pages 1-21
-
Grayscale Image Segmentation Using Multilevel Thresholding and Nature-Inspired Algorithms
Pages 23-52
-
A Novel Hybrid CS-BFO Algorithm for Optimal Multilevel Image Thresholding Using Edge Magnitude Information
Pages 53-85
-
REFII Model and Fuzzy Logic as a Tool for Image Classification Based on Image Example
Pages 87-108
-
Microscopic Image Segmentation Using Hybrid Technique for Dengue Prediction
Pages 109-136
-
Table of contents (12 chapters)
- Download Preface 1 PDF (53.6 KB)
- Download Sample pages 2 PDF (1.3 MB)
- Download Table of contents PDF (53.9 KB)
Recommended for you
Bibliographic Information
- Bibliographic Information
-
- Book Title
- Hybrid Soft Computing for Image Segmentation
- Editors
-
- Siddhartha Bhattacharyya
- Paramartha Dutta
- Sourav De
- Goran Klepac
- Copyright
- 2016
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG
- eBook ISBN
- 978-3-319-47223-2
- DOI
- 10.1007/978-3-319-47223-2
- Hardcover ISBN
- 978-3-319-47222-5
- Softcover ISBN
- 978-3-319-83684-3
- Edition Number
- 1
- Number of Pages
- XVI, 321
- Number of Illustrations
- 75 b/w illustrations, 87 illustrations in colour
- Topics
