John Wiley & Sons Hybrid Intelligence for Image Analysis and Understanding Cover A synergy of techniques on hybrid intelligence for real-life image analysis Hybrid Intelligence for.. Product #: 978-1-119-24292-5 Regular price: $114.02 $114.02 In Stock

Hybrid Intelligence for Image Analysis and Understanding

Bhattacharyya, Siddhartha / Pan, Indrajit / Mukherjee, Anirban / Dutta, Paramartha


1. Edition October 2017
464 Pages, Hardcover
Wiley & Sons Ltd

ISBN: 978-1-119-24292-5
John Wiley & Sons

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A synergy of techniques on hybrid intelligence for real-life image analysis

Hybrid Intelligence for Image Analysis and Understanding brings together research on the latest results and progress in the development of hybrid intelligent techniques for faithful image analysis and understanding. As such, the focus is on the methods of computational intelligence, with an emphasis on hybrid intelligent methods applied to image analysis and understanding.

The book offers a diverse range of hybrid intelligence techniques under the umbrellas of image thresholding, image segmentation, image analysis and video analysis.

Key features:
* Provides in-depth analysis of hybrid intelligent paradigms.
* Divided into self-contained chapters.
* Provides ample case studies, illustrations and photographs of real-life examples to illustrate findings and applications of different hybrid intelligent paradigms.
* Offers new solutions to recent problems in computer science, specifically in the application of hybrid intelligent techniques for image analysis and understanding, using well-known contemporary algorithms.

The book is essential reading for lecturers, researchers and graduate students in electrical engineering and computer science.

Editor Biographies

List of Contributors



About the companion website

Chapter 1

Multilevel image segmentation using Modified Genetic Algorithm (MfGA) based Fuzzy C-means

Sourav De, Sunanda Das, Siddhartha Bhattacharyya, Paramartha Dutta

Chapter 2

Character Recognition Using Entropy-based Fuzzy C-Means Clustering

B. Kondalarao, S. Sahoo, D. K. Pratihar

Chapter 3

A Two-stage Approach to Handwritten Indic Script Identification

Pawan Kumar Singh, Supratim Das, Ram Sarkar, Mita Nasipuri

Chapter 4

Feature extraction and segmentation techniques in static hand gesture recognition system

Subhamoy Chatterjee, Piyush Bhandari, Mahesh Kumar Kolekar

Chapter 5

SVM combination for an enhanced prediction of writer's soft-biometrics

Nesrine Bouadjenek, Hassiba Nemmour, Youcef Chibani

Chapter 6

Brain Inspired Machine Intelligence for Image Analysis: Convolutional Neural Networks

Siddharth Srivastava, Brejesh Lall

Chapter 7

Human behavioral analysis using evolutionary algorithms and deep learning

Earnest Paul Ijjina, C. Krishna Mohan

Chapter 8

Feature Based Robust Description and Monocular Detection, An Application To Vehicle Tracking

Ramazan Y?ld?z, Tankut Acarman

Chapter 9

A GIS Anchored Technique for Social Utility Hot Spot Detection

Anirban Chakraborty, J. K. Mandal, Arnab Patra, Jayatra Majumdar

Chapter 10

Hyperspectral data processing--Spectral Unmixing, Classification and Target Identification

Vaibhav Lodhi, Debashish Chakravarty, Pabitra Mitra

Chapter 11

A hybrid approach for band selection of hyperspectral images

Aditi Roy Chowdhury, Joydev Hazra, Paramartha Dutta

Chapter 12

Uncertainty Based Clustering Algorithms for Medical Image Analysis

B. K. Tripathy, Deepthi P. Hudedagaddi

Chapter 13

An Optimized Breast Cancer Diagnosis System Using Cuckoo Search Algorithm and Support Vector Machine classifier

Prabukumar. M, Agilandeeswari. L, Arun Kumar Sangaiah

Chapter 14

Analysis of Hand vein images using Hybrid techniques

R. Sudhakar, S. Bharathi, V. Gurunathan

Chapter 15

Identification of Abnormal Masses in Digital

Mammogram using Statistical Decision Making

Indra Kanta Maitra, Sangita Bhattacharjee, Samir Kumar Bandyopadhyay

Chapter 16

Automatic Detection of Coronary Artery Stenosis using Bayesian Classification and Gaussian Filters based on Differential Evolution

Ivan Cruz-Aceves, Fernando Cervantes-Sanchez, Arturo Hernandez-Aguirre

Chapter 17

Evaluating the Efficacy of Multi-resolution Texture Features for Prediction of Breast Density using Mammographic Images

Kriti Virmani, Jitendra Virmani
PROF. (DR.) SIDDHARTHA BHATTACHARYYA (SMIEEE, SMACM, LMCSI, LMOSI, LMISTE, MIAENG, MIRSS, MACSE, MIAASSE) obtained his Bachelors in Physics, Optics and Optoelectronics and Masters in Optics and Optoelectronics from the University of Calcutta, India, in 1995, 1998 and 2000 respectively. He completed a PhD in Computer Science and Engineering from Jadavpur University, India, in 2008. He is currently the Professor and Head of Information Technology at the RCC Institute of Information Technology, Kolkata, India. He is also the Dean (Research & Development) of the institute. He is a co-author of 3 books and co-editor of 5 books and more than 135 research publications.

DR. INDRAJIT PAN did his Bachelors in Computer Science Engineering in 2005 at The University of Burdwan, India, and completed his Masters in Information Technology at Bengal Engineering and Science University, Shibpur. He got a University Medal for his performance in his Masters. Later, he was awarded a PhD in Engineering from the Indian Institute of Engineering, Science and Technology (IIEST). He has more than 10 years' experience teaching in undergraduate and postgraduate engineering in IT and allied field. Currently, he is an Assistant Professor of Information Technology at the RCC Institute of Information Technology. His research interests include CAD, Computer Security, Soft Computing Applications and Cloud Computing.

DR. ANIRBAN MUKHERJEE did his Bachelors in Civil Engineering in 1994 at Jadavpur University, Kolkata. He completed his PhD on 'Automatic Diagram Drawing based on Natural Language Text Understanding' at the Indian Institute of Engineering, Science and Technology (IIEST), Shibpur, in 2014. He has more than 20 years' experience in teaching undergraduate and postgraduate engineering in IT and allied field. Currently, he is an Associate Professor and HOD of Engineering Science & Management at the RCC Institute of Information Technology. He has experience of working in computer aided design and engineering analysis and also of teaching on CAD courses. His research interests include Computer Graphics & CAD, Soft Computing Applications and Assistive Technology. He has co-authored two UG engineering textbooks: a popular one on 'Computer Graphics and Multimedia' and another on 'Engineering Mechanics'. He has also co-authored more than 15 books on Computer Graphics/Multimedia for distance learning professional courses at different Universities in India.

PROF. (DR.) PARAMARTHA DUTTA has a B. Stat. (Hons.), M. Stat., M. Tech in Computer Science, and a PhD (Engineering) in Computer Science and Technology. With around 23 years of research and academic experience, Professor Dutta is currently serving as a Professor in the Department of Computer and System Sciences, Visva Bharati University. Professor Dutta is a senior Member of IEEE and ACM. He has executed almost 200 projects funded by the Govt. of India. Professor Dutta has remained associated with various Universities and Institutes as Visiting/Guest faculty. To date, Professor Dutta has more than 6 authored and 6 edited books in addition to around 180 papers, published in different International Journals and in International/National conference proceedings.