Electronics and Communications Technology

AAP Series on Digital Signal Processing, Computer Vision and Image Processing

Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision
Editors: Karm Veer Arya, PhD
Ciro Rodriguez Rodriguez, PhD
Saurabh Singh, PhD
Abhishek Singhal, PhD

Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision

in production
Pub Date: Fall 2024
Hardback Price: see ordering info
Hard ISBN: 9781774914694
E-Book ISBN: 9781003425700
Pages: 340pp w/index
Binding Type: Hardback / eBook
Series: AAP Series on Digital Signal Processing, Computer Vision and Image Processing
Notes: 12 color, 131 b/w illustrations

Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision provides in-depth and detailed knowledge about the latest research in image processing and computer vision techniques. It is a roadmap for the improvement of computer vision and image processing, explaining the machine learning algorithms and models involved. The authors differentiate between the various algorithms available and how to choose which to use for the most precise results for a specific task involving certain constraints. The volume provides real-world examples to illustrate the concepts and methods.

The authors discuss machine learning in healthcare systems for detection, diagnosis, classification, and segmentation. They also explore the diverse applications of image and video processing, including image colorization and restoration using deep learning, using machine learning to record the changes in the Amazon rainforest over time with remote sensing, and more.

Researchers, teachers, and students working in the field of artificial intelligence, machine learning, and computer vision will benefit from the knowledge presented here on the diverse applications of computer vision and image processing.

CONTENTS:
Preface

PART I: HEALTHCARE SYSTEMS
1. Machine Learning Model-Based Detection of Sperm Head Abnormalities from Stained Microscopic Images
Sakthi Jaya Sundar Rajasekar and Varalakshmi Perumal

2. Smart Healthcare System for Reliable Diagnosis of Polycystic Ovary Syndrome
Ishika Dhall, Shubham Vashisth, and Garima Aggarwal

3. Classification of Breast Histopathological Images Using Semi-Supervised Generative Adversarial Networks
Karthiga R., Usha G., and Narasimhan

4. A Systematic Review for Classification and Segmentation of Diabetic Retinopathy Lesion from Fundus
Alaguselvi R. and Kalpana Murugan

PART II: IMAGE AND VIDEO PROCESSING
5. Artificial Bee Colony Optimization Technique-Based Video Copyright Protection in DWT-PCA Domain
Ponni Sathya S., Ramakrishnan S., and Sathiyamurthi P.

6. Gray Tone Spatial Dependence Matrix: Texture Feature for Image Classification
Amit Verma

7. Image Colorization and Restoration Using Deep Learning
Aryan Raj Tiwary, Aditya Kr. Gupta, Preetish Niket, Tapas Khanijo, and Jyoti Gupta

8. Determining Image Scale in Real-World Units Using Natural Objects Present in Image
Saurabh Singh and Rhea S Shrivastava

9. Image Segmentation Using Meta-Heuristics
Abhishek Singhal and Sakshi Bisht

PART III: DIVERSE APPLICATIONS OF COMPUTER VISION AND MACHINE LEARNING
10. A Computer Vision Use Case: Detecting the Changes in the Amazon Rainforest Over Time
Dwijendra Nath Dwiivedi and Ganesh Patil

11. Using CNN and Image Processing Approaches in the Preservation of Sea Turtles
Mireya Saraí García Vázquez and Alejandro Álvaro Ramírez Acosta

12. Deep Learning-Based Semantic Segmentation Techniques and Their Applications in Remote Sensing
Preetpal Kaur Buttar and Manoj Kumar Sachan

13. Deep Convolutional Neural Network-Based Single Image Superresolution
Wazir Muhammad and Manoj Gupta

14. A Review of Machine Learning Techniques for Vision-Established Human Action Recognition
J. Palanimeera and K. Ponmozhi

Index


About the Authors / Editors:
Editors: Karm Veer Arya, PhD
Professor, Department of Information and Communication, ABV-Indian Institute of Information Technology and Management, Gwalior, India

Karm Veer Arya, PhD, is associated Department of Information and Communication at ABV-Indian Institute of Information Technology and Management, Gwalior, India, where he is also Coordinator of the Multimedia and Information Security Research Group. He has more than 29 years of teaching and research experience. His research interests include image processing, biometrics, and artificial intelligence. Prof. Arya has published more than 150 research papers in various internationally reputed journals and conferences. He has supervised 11 PhD scholars and nearly 100 postgraduate students. Prof. Arya is a recipient of an inspirational scientist award in the years 2020-21. He has received a Lifetime Golden Achievement Award from Bharat Rattan Publishing House in year 2020.

Ciro Rodriguez Rodriguez, PhD
Professor, Department of Software Engineering, National University Mayor de San Marcos; Department of Informatic Engineering, National University Federico Villarreal, Lima, Peru

Ciro Rodriguez Rodriguez, PhD, is associated with the Department of Software Engineering at National University Mayor de San Marcos and with the Department of Informatic Engineering at National University Federico Villarreal, both in Lima, Peru. He completed his PhD in Engineering and has done advanced studies at the International Centre for Theoretical Physics (ICTP) in Italy, at the U.S. Particle Accelerator School (USPAS), and at the Information Technology Development Policy Studies at Korea Telecom (KT) in South Korea. His research interests include artificial intelligence, health and social welfare, and the environment. He has published over 80 research articles in reputed journals indexed in Scopus, WoS, and IEEE. He has filed two patents in engineering fields.

Saurabh Singh, PhD
Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida, India

Saurabh Singh, PhD, is working as Professor at the School of Computing Science and Engineering, Galgotias University, Greater Noida India. Dr. Singh has more than 21 years of experience in teaching and research. He has received his PhD degree from Birla Institute of Technology, Ranchi. He has published over 40 research articles in various internationally reputed journals and conferences, written book chapters, and filed nine patents in various fields of engineering.

Abhishek Singhal, PhD
Associate Professor, Department of Computer Science and Engineering, Amity University Uttar Pradesh, Noida, India

Abhishek Singhal, PhD, is an Associate Professor in the Department of Computer Science and Engineering at Amity University Uttar Pradesh, Noida, India, where he earned his PhD. With over 21 years of experience, he has published over 50 Scopus-indexed research articles in various internationally reputed journals and conferences.




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