Computer Science & Information Management

Research Innovations and Trends on Computer Vision and Recognition Systems
Editors: Chiranji Lal Chowdhary
G. Thippa Reddy
B. D. Parameshachari

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Research Innovations and Trends on Computer Vision and Recognition Systems

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This book addresses the essential components for realizing all artificial intelligence capabilities to give machines the power of vision. To imitate human sight, computer vision has to obtain, store, interpret, and understand images. The incredible growth in approaching this milestone was made possible through neural networks, machine learning, and deep learning, in the iterative learning process. Computer vision is just an artificial intelligence system that is used in various applications such as convenience stores, driverless car testing, day-to-day medical diagnostics, and crop and livestock safety monitoring.

Computer vision allows computers to comprehend and mark the images. The subject area of this volume is not limited, and it will include various computer vision approaches, image processing, and machine learning frameworks for creating automated safe applications. Deep learning will also be included for making immersive application-based chapters, pattern recognition, and biometric systems. The book will also consider efficiency and comparison at various levels of using algorithms for real-time applications, processes, and analysis.

CONTENTS:
1. Visual Quality Improvement using Single Image Defogging Technique
Pritam Verma and Vijay Kumar
Dept. of Computer Science and Engineering, National Institute of Technology, Hamirpur, Himachal Pradesh, India

2. A Comparative Study of Machine Learning Algorithms in Parkinson’s Disease Diagnosis - A Review
Pedram Khatamino and Zeynep Orman
Dept. of Computer Engineering, ?stanbul University - Cerrahpa?a, ?stanbul, Turkey

3. Machine Learning Algorithms for Hypertensive Retinopathy Detection Through Retinal Fundus Images
N. Jagan Mohan, R. Murugan, and Tripti Goel
Dept. of Electronics and Communication Engineering, National Institute of Technology Silchar, Assam, India

4. Big Image Data Processing: Methods, Technologies and Implementation Issues
U. S. N. Raju, Suresh Kumar Kanaparthi, Mahesh Kumar Morampudi, Sweta Panigrahi, and Debanjan Pathak
Dept. of Computer Science and Engineering,
National Institute of Technology Warangal, Telangana State, India

5. N-grams for Image Classification and Retrieval
Pradnya S. Kulkarni
School of Computer Engineering and Technology, MIT World Peace University, Pune, India
Honorary Research Fellow, Federation University, Australia

6. A Survey on Evolutionary Algorithms for Medical Brain Images
Nur?ah Dincer and Zeynep Orman
Department of Computer Programming, School of Advanced Vocational Studies, Dogus University, Istanbul, Turkey
Department of Computer Engineering, Istanbul University-Cerrahpasa, Avcilar, Istanbul, Turkey

7. Chatbot application with Scene Graph in Thai Language
Cantana Chantrapornchai and Panida Khuphira
Faculty of Engineering, Kasetsart University, Bangkok, Thailand

8. Credit Score Improvisation through Automating the Extraction of Sentiment from Reviews
Aadit Vikas Malikayil, VIT Chennai, India
R. Maheswari, VIT Chennai, India
H. Azath, VIT Bhopal, India
P. Sharmila, Sri SaiRam Engineering College, India

9. Vision-Based Lane and Vehicle Detection: A First Step towards Autonomous Unmanned Vehicle
Tapan Kumar Das
School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India

10. Damaged Vehicle Parts Recognition using Capsule Neural Network
Kundjanasith Thonglek, Norawit Urailertprasert, Patchara Pattiyathanee, and Chantana Chantrapornchai
Nara Institute of Science and Technology, Nara, Japan
Vidyasirimedhi Institute of Science and Technology, Rayong, Thailand
Kasetsart University, Bangkok, Thailand

11. Partial Image Encryption of Medical Images Based on Various Permutation Techniques
Kiran, B. D. Parameshachari, and H. T. Panduranga
Dept. of ECE Engineering, Vidyavardhaka Engineering, College, Mysuru, India
Dept. of TCE Engineering, GSSS institure of Engineering for Women, Mysuru, India
Dept. of ECE Engineering, Govt. Polytechnic, Turvekere, Tumkur, India

12. Image Synthesis with Generative Adversarial Networks (GAN)
R. Parvathi and V. Pattabiraman
School of Computer Science and Engineering,
Vellore Institute of Technology, Chennai, India


About the Authors / Editors:
Editors: Chiranji Lal Chowdhary
Associate Professor, School of Information Technology & Engineering VIT Vellore 632 014 Tamil Nadu, India

G. Thippa Reddy
Associate Professor, School of Information Technology & Engineering VIT Vellore, Tamil Nadu, India

B. D. Parameshachari
Professor & HoD, GSSSIET for Women, Karnataka, India




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