Computational Intelligence in Image and Video Processing  book cover
1st Edition

Computational Intelligence in Image and Video Processing



  • Available for pre-order. Item will ship after February 15, 2023
ISBN 9781032110318
February 15, 2023 Forthcoming by Chapman and Hall/CRC
344 Pages 182 B/W Illustrations

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Book Description

Computational Intelligence in Image and Video Processing presents introduction and state-of-the-art adaptations of computational intelligence techniques and their usefulness in image and video enhancement, classification, retrieval, forensics and captioning. It covers an amalgamation of such techniques in diverse applications of image and video processing.

Features:

  • A systematic overview of state-of-the-art technology in computational intelligence techniques for image and video processing
  • Advanced evolutionary and nature inspired approaches to solve optimization problems in the image and video processing domain.
  • Outcomes of Recent research and some pointers to future advancements in image and video processing and intelligent solutions using computational intelligence techniques.
  • Code snippets of the computational intelligence algorithm/techniques used in image and video processing

This book is primarily aimed at advanced undergraduates, graduates and researchers in computer science and information technology. Engineers and industry professionals will also find this book useful.

Table of Contents

  1. OCR-based Text Information Extraction from Digital Image Documents
  2. Md. Mijanur Rahman, Mahnuma Rahman Rinty

  3. Extracting the Pixel Edges on Leaves to Detect its Type using Fuzzy Logic
  4. Lakshmi JVN, Kamalraj R

  5. Water Surface Waste Object Detection and Classification
  6. Jayanand P. Gawande, Rakesh P. Borase, Sushant N. Pawar

  7. A Novel Approach for Weakly Supervised Object Detection (WSOD) using Deep Learning Technique
  8. Jyoti G. Wadmare, Sunita R. Patil

  9. Image Inpainting using Deep Learning
  10. Yogesh Dandawate, Tushar Jadhav, Paritosh Jitendra Marathe

  11. Watermarking in frequency domain using Magic Transform
  12. Narendrakumar R. Dasre, Pritam Gujarathi

  13. An Efficient Light-weight LSB steganography with Deep learning Steganalysis
  14. Dipnarayan Das, Asha Durafe, Vinod Patidar

  15. Rectum Cancer MRI Image Segmentation
  16. R. Srivaramangai

  17. Detection of Tuberculosis in microscopy Images using Mask Region Convolutional Neural Network
  18. Nasir Khan, Hazrat Ali, Muhammad Shakaib Iqbal, Muhammad Arfat Yameen, Christer Grönlund

  19. Comparison of Deep learning methods for COVID-19 detection using Chest X-ray
  20. Archana Chaudhari, Nikita Kotwal, Gauri Unnithan, Anaya Pawar

  21. Video Segmentation and Compression
  22. Nithya K, Mythili S, Krishnamoorthi M, Kalamani M

  23. A Novel DST-SBPMRM based Compressed Video Steganography over Transform Coefficients of Motion Region
  24. Rachna Patel, Mukesh Patel

  25. Video Matting, Watermarking and Forensics
  26. Dhivyaa C R, Anbukkarasi S

  27. Time Efficient Video Captioning using GRU, Attention Mechanism and LSTM
  28. Gurdeep Saini, Nagamma Patil

  29. Nature Inspired Computing for Feature Selection and Classification
  30. Rahul Chakre, Dipak V. Patil, M. U. Kharat

  31. Optimized Modified K-Nearest Neighbor (OMKNN) Classifier for Pattern Recognition
  32. Priyadarshan Dhabe , Affan Shaikh, Jayanti Runwal, Ashwini Patil, Sneha Shinde

  33. Role of Multi-objective Optimization in Image Segmentation and Classification

          Ujwala Bharambe, Ujwala Bhangale, Chhaya Narvekar

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Editor(s)

Biography

Dr. Mukesh D Patil is the Principal of Ramrao Adik Institute of Technology, Navi Mumbai, India. He obtained his Master of Technology and a PhD from Systems and Control engineering, Indian Institute of Technology Bombay, Mumbai, India, in 2002 and 2013. His current research areas include robust control, fractional order control and signal processing. He has published over 45-refereed papers and several patents, most in the areas of fractional-order control and signal processing. He is a senior member of IEEE, Fellow of IETE and life member of ISTE. He has served on the program committees of various conferences/workshops and member of several prestigious professional bodies.

Dr. Gajanan K Birajdar obtained his M. Tech. (Electronics and Telecommunication Engineering) from Dr. Babasaheb Ambedkar Technological University, Maharashtra, India, in 2004 and Ph. D. in blind image forensics from Nagpur University, India, in 2018. He is working in the Department of Electronics Engineering, Ramrao Adik Institute of Technology Nerul, Navi Mumbai, University of Mumbai. He is a member of various professional bodies like ISTE, IETE, and IE(I). His current research interests are multimedia security and forensics.

Dr. Sangita S Chaudhari obtained her Master of Engineering (Computer Engineering) from Mumbai University, Maharashtra, India, in 2008 and Ph. D. in GIS and Remote Sensing from Indian Institute of Technology Bombay, Mumbai, India in 2016. Currently, she is working as professor in Department of Computer Engineering, Ramrao Adik Institute of Technology Nerul, Navi Mumbai. She has published several papers in the International/National Journals/Conferences and book chapters. She is an IEEE senior member and active member of IEEE GRSS and IEEE Women in Engineering. Her research interests include Image processing, Information security, Geographical Information Systems, and Remote sensing.