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Bio-Inspired Computing for Image and Video Processing

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ACO
advanced evolutionary image processing techniques
BFOA
biometric security systems
Category=UYQM
Category=UYQV
CBIR
computational intelligence
CS
Digital Watermarking
Dwt
eq_bestseller
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
evolutionary computation
Fa
FCM Algorithm
Feature Vectors
Fir Filter
GA
Gabor Filter
Hexagonal Grid
Image Processing Attacks
Image Segmentation
Image Watermarking
Invisible Watermark
medical image retrieval
Particle Swarm Optimization
pattern recognition methods
Proposed Watermarking Algorithm
Query Image
remote sensing analysis
SSIM
Video Watermarking
Watermarking Algorithm
Watermarking Scheme
Watermarking System

Product details

  • ISBN 9781498765923
  • Weight: 861g
  • Dimensions: 156 x 234mm
  • Publication Date: 22 Dec 2017
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Description

In recent years bio-inspired computational theories and tools have developed to assist people in extracting knowledge from high dimensional data. These differ in how they take a more evolutionary approach to learning, as opposed to traditional artificial intelligence (AI) and what could be described as 'creationist' methods. Instead bio-inspired computing takes a bottom-up, de-centralized approach that often involves the method of specifying a set of simple rules, a set of simple organisms which adhere to those rules, and of iteratively applying those rules.

Bio-Inspired Computing for Image and Video Processing covers interesting and challenging new theories in image and video processing. It addresses the growing demand for image and video processing in diverse application areas, such as secured biomedical imaging, biometrics, remote sensing, texture understanding, pattern recognition, content-based image retrieval, and more.

This book is perfect for students following this topic at both undergraduate and postgraduate level. It will also prove indispensable to researchers who have an interest in image processing using bio-inspired computing.
About
D. P. Acharjya received his Ph.D. in Computer Science from Berhampur University, India; M. Tech. degree in Computer Science from Utkal University, India; and M. Sc. from NIT, Rourkela, India. Currently he is working as a Professor in the School of Computer Science and Engineering, VIT University, Vellore, India. He has authored more than 60 national and international journal and conference papers to his credit. He has also written four text books and edited six books to his credit. He has been awarded with Gold Medal in M. Sc; Eminent Academician Award from Khallikote Sanskrutika Parisad, Brahmapur, Odisha; Outstanding Educator and Scholar Award from NFED, Coimbatore, India; and The Best Citizens of India Award from The International Publishing House, New Delhi, India. He is acting as an editorial board member of various journals and reviewer of IEEE Fuzzy Sets and Systems, Applied Soft Computing, and Knowledge base Systems. He is associated with many professional bodies ACM, CSI, ISTE, IMS, AMTI, ISIAM, OITS, IACSIT, CSTA, and IAENG. He was founder secretary of OITS Rourkela chapter. His current research interests include rough computing, knowledge representation, bio-inspired computing, data mining, granular computing and business intelligence. V. Santhi received her Ph.D. in CSE from VIT University; M. Tech. in CSE from Pondicherry University; and B. Tech. in CSE from Bharathidasan University, India. She is currently working as Associate Professor in School of Computer Science and Engineering, VIT University. She has 18 years of experience in academic and 3 years of experience in Industry. She had served as Head of Department for more than eight years in engineering colleges. She has received research award for publishing research papers in refereed Journals from VIT University 3 times consecutively. She has guided more than 80 graduate projects and more than 50 post graduate level projects. Her publications are indexed in IEEE Computer Society, SPIE Digital Library, NASA Astrophysics Data Systems, SCOPUS and ACM Digital Library. She is a reviewer of IEEE Transaction on Multimedia Security, IEEE Transaction on Image Processing, IET–Image Processing, International Journal of Information and Computer Security. She is member of IEEE Signal Processing Society, CSI and IACSIT. She has published many papers in refereed Journals and in International Conferences. She has contributed many chapters and currently in the process of editing books. Her current research include digital image processing, digital signal processing, multimedia security, soft computing, bio-Inspired computing, and remote sensing.