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Hybrid Soft Computing for Image Segmentation

  • Book
  • © 2016

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Editors:
  1. Siddhartha Bhattacharyya

    1. Department of Information Technology, RCC Institute of Information Technology, Kolkata, India

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  2. Paramartha Dutta

    1. Department of Computer and System Sciences, Visva-Bharati University, Santiniketan, India

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  3. Sourav De

    1. Department of Computer Science and Engineering, Cooch Behar Govt. Engineering College, Cooch Behar, India

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  4. Goran Klepac

    1. Department of Strategic Development, Raiffeisenbank Austria, Zagreb, Croatia

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  • 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
  • Includes supplementary material: sn.pub/extras

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xvi
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  2. Hybrid Swarms Optimization Based Image Segmentation

    • Mohamed Abd El Aziz, Ahmed A. Ewees, Aboul Ella Hassanien
    Pages 1-21

  3. Grayscale Image Segmentation Using Multilevel Thresholding and Nature-Inspired Algorithms

    • Genyun Sun, Aizhu Zhang, Zhenjie Wang
    Pages 23-52

  4. A Novel Hybrid CS-BFO Algorithm for Optimal Multilevel Image Thresholding Using Edge Magnitude Information

    • Sanjay Agrawal, Leena Samantaray, Rutuparna Panda
    Pages 53-85

  5. REFII Model and Fuzzy Logic as a Tool for Image Classification Based on Image Example

    • Goran Klepac
    Pages 87-108

  6. Microscopic Image Segmentation Using Hybrid Technique for Dengue Prediction

    • Pramit Ghosh, Ratnadeep Dey, Kaushiki Roy, Debotosh Bhattacharjee, Mita Nashipuri
    Pages 109-136

  7. Extraction of Knowledge Rules for the Retrieval of Mesoscale Oceanic Structures in Ocean Satellite Images

    • Eva Vidal-Fernández, Jesús M. Almendros-Jiménez, José A. Piedra, Manuel Cantón
    Pages 137-162

  8. Hybrid Uncertainty-Based Techniques for Segmentation of Satellite Imagery and Applications

    • B. K. Tripathy, P. Swarnalatha
    Pages 163-183

  9. Improved Human Skin Segmentation Using Fuzzy Fusion Based on Optimized Thresholds by Genetic Algorithms

    • Anderson Santos, Jônatas Paiva, Claudio Toledo, Helio Pedrini
    Pages 185-207

  10. Uncertainty-Based Spatial Data Clustering Algorithms for Image Segmentation

    • Deepthi P. Hudedagaddi, B. K. Tripathy
    Pages 209-227

  11. Coronary Artery Segmentation and Width Estimation Using Gabor Filters and Evolutionary Computation Techniques

    • Fernando Cervantes-Sanchez, Ivan Cruz-Aceves, Arturo Hernandez-Aguirre
    Pages 229-253

  12. Hybrid Intelligent Techniques for Segmentation of Breast Thermograms

    • Sourav Pramanik, Mrinal Kanti Bhowmik, Debotosh Bhattacharjee, Mita Nasipuri
    Pages 255-289

  13. Modeling of High-Dimensional Data for Applications of Image Segmentation in Image Retrieval and Recognition Tasks

    • Dariusz Jakóbczak
    Pages 291-317

  14. Back Matter

    Pages 319-321
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Keywords

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.

Editors and Affiliations

  • Department of Information Technology, RCC Institute of Information Technology, Kolkata, India

    Siddhartha Bhattacharyya

  • Department of Computer and System Sciences, Visva-Bharati University, Santiniketan, India

    Paramartha Dutta

  • Department of Computer Science and Engineering, Cooch Behar Govt. Engineering College, Cooch Behar, India

    Sourav De

  • Department of Strategic Development, Raiffeisenbank Austria, Zagreb, Croatia

    Goran Klepac

Bibliographic Information

  • Book Title: Hybrid Soft Computing for Image Segmentation

  • Editors: Siddhartha Bhattacharyya, Paramartha Dutta, Sourav De, Goran Klepac

  • DOI: https://doi.org/10.1007/978-3-319-47223-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing AG 2016

  • Hardcover ISBN: 978-3-319-47222-5Published: 18 November 2016

  • Softcover ISBN: 978-3-319-83684-3Published: 29 June 2018

  • eBook ISBN: 978-3-319-47223-2Published: 12 November 2016

  • Edition Number: 1

  • Number of Pages: XVI, 321

  • Number of Illustrations: 75 b/w illustrations, 87 illustrations in colour

  • Topics: Artificial Intelligence, Computational Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics

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