Integrating Metaheuristics in Computer Vision for Real-World Optimization Problems

This book recognizes digital images and video use in fields of surveillance, manufacturing, and agriculture. Organized in two parts, a variety of readers learn about communication, automation, and beginning a career in research and innovation. The goal of the book is to provide research that addresses broad challenges in both theoretical and application aspects of soft computing and machine learning in image processing and computer vision.

Included in This Book:

- Discussions on advancements in diagnostics and therapeutic techniques for ischemic stroke, object detection, and tracking face detection

- Talks about the comparative evaluation of machine learning algorithms for bank fraud detection and improving performance with feature selection, extraction, and learning

- Details the concept of trading cryptocurrency market-based strategies with comparative evaluation and prediction of exoplanets by using machine learning methods

- Explores the advancements of machine learning and highlights the strengths and limitations of swarm intelligence and computation

Kapil Joshi, PhD, is an assistant professor in the Computer Science & Engineering Department, Uttaranchal Institute of Technology in Dehradun, Uttarakhand, India. Joshi completed a PhD on the topic of Image Quality Enhancement using Fusion Techniques.’ He has 8 years of academic experience in his areas of interest in Operating systems, Computer Networks, Web Technology, Data Structure, and Java. He has published various patents, research papers, and two books. In 2021, he was awarded the ’Best Young Researcher’ Award in Global Education and Corporate Leadership received by Life Way Tech India Pvt. Ltd.

Shubham Mahajan is an assistant professor in the School of Engineering at Ajeekya D Y Patil University, Pune, Maharashtra, India. Mahajan completed a Ph.D. degree with Shri Mata Vaishno Devi University. His main areas of interest include image processing, video compression, and image segmentation. He received the ’Best Research Paper Award in 2019 from ICRIC.

Amit Kant Pandit works in the School of Electronics & Communications Engineering at the Shri Mata Vaishno Devi University in Katra, India. He completed a Ph.D. in 2009 from Shri Mata Vaishno Devi University. He is an author of 60 peer-reviewed journal publications. His research focuses on image processing, video compression, and nature-inspired computing methods.

Nitish Pathak works in the Department of Information Technology at Bhagwan Parshuram Institute of Technology in New Delhi, India. Pathak completed a Ph.D. in computer science and engineering. He has 17 years of engineering education experience and has been published in 80 international journals for international conferences, patents, and book chapters. Pathak was the recipient of the Directorate Award in 2008 and 2009. His research areas include intelligent computing techniques, empirical software engineering, and artificial intelligence.