The book explains the important concepts and principles of image processing to implement the algorithms and techniques to discover new problems and applications. It contains numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. It presents essential background theory, shape methods, texture about new methods, and techniques for image processing and pattern recognition. It maintains a good balance between a mathematical background and practical implementation. This book also contains the comparison table and images that are used to show the results of enhanced techniques. This book consists of novel concepts and hybrid methods for providing effective solutions for society. It also includes a detailed explanation of algorithms in various programming languages like MATLAB, Python, etc. The security features of image processing like image watermarking and image encryption etc. are also discussed in this book. This book will be useful for those who are working in the field of image processing, pattern recognition, and security for digital images. This book targets researchers, academicians, industry, and professionals from R&D organizations, and students, healthcare professionals working in the field of medical imaging, telemedicine, cybersecurity, data scientist, artificial intelligence, image processing, digital hospital, intelligent medicine.

Autorentext

Narendra Kumar is a Faculty at the Department of School of Computing, DIT University, Dehradun, India. He is M. Tech. (Computer Science) from BIT Mesra, Ranchi, Jharkhand, and Ph.D. (Computer Science) from Deen Dayal Upadhyaya Gorakhpur University, Gorakhpur. He has over 12 years of teaching experience. He has published numerous research papers in international journals and conferences. His research areas include data science, IoT, and image processing. 

Celia Shahnaz, SMIEEE, Fellow IEB, received a Ph.D. degree from Concordia University, Canada, and is currently a Professor at the Department of EEE, BUET, Bangladesh, since 2015. She has published over 150 international journal/conference papers. She is a recipient of the Canadian Commonwealth Scholarship/Fellowship and Bangladesh Academy of Science Gold Medal for her contribution to Science and Technology. Her research interests include the areas of deep learning, pattern recognition and machine learning for audio, video, biomedical and power signals, signal processing for speech analysis and speech enhancement, multimodal emotion recognition, digital watermarking, audio-visual recognition for biometric security, multimedia communication, control system, robotics, and humanitarian technology. She has around 20 years of experience (over 18 years as an IEEE volunteer) in leading impactful technical, professional, educational, industrial, women empowerment, and humanitarian technology projects at national/international levels. 

Krishna Kumar is a Research and Development Engineer at UJVN Ltd. (A Govt. of Uttarakhand Enterprises). Before joining UJVNL, he has worked as Assistant Professor at BTKIT, Dwarahat. He has received his B.E. degree from Govind Ballabh Pant Engineering College, Pauri Garhwal, and M.Tech from Motilal Nehru NIT, Allahabad. He is pursuing his Ph.D. from the Indian Institute of Technology, Roorkee. He has over 11 years of experience with numerous research papers published in international journals and conferences. He has also edited several books published by International publishers. His present research areas include IoT, machine learning, image processing, and renewable energy.

Mazin Abed Mohammed obtained his B.Sc. from the University of Anbar, Iraq, M.Sc. from the College of Graduate Studies, Universiti Tenaga Nasional (UNITEN), Malaysia. and a Ph.D. degree from Universiti Teknikal Malaysia Melaka, Malaysia. He has published over 60 research papers in journals, book chapters, conferences, and tutorials. Dr. Mohammed is the Editor in Chief of Journal of Fusion: Practice and Applications, Associate Editor of International Journal of Smart Sensor Technologies and Applications IGI Global: International Publisher of Information Science and Technology Research. He is a reviewer of over 40 reputed Journals. His specialization and research interests include artificial intelligence, biomedical computing and processing, medical image and data processing, machine learning, deep learning, optimization methods, and software medical IoT. 

Ram Shringar Raw received his Ph.D. from Jawaharlal Nehru University, New Delhi, India. He has obtained his M. Tech (IT) and B. E. (CSE) in 2005 and 2000 respectively. He has worked as an Associate Professor in the Department of Computer Science of Indira Gandhi National Tribal University (A Central University, MP) from April 2016 to March 2018. He is currently working as an Associate Professor in the Department of Computer Science and Engineering of Netaji Subhas University of Technology, East Campus, Delhi, India. He has over 18 years of teaching, administrative and research experience. Dr. Raw has published over 100 research papers. He has supervised several B. Tech, M. Tech, and Ph.D. students for their dissertation and thesis work. His current research interest includes Mobile Ad hoc Networks, Vehicular Ad hoc Networks, Flying Ad-hoc Networks, and Cloud Computing.

Inhalt
Chapter 1: Introduction of Image processing Chapter 2: Image Enhancement

Chapter 3: Image segmentation and image colorization

Chapter 4: Image classification, fusion, and reconstruction

Chapter 5: Feature Extraction

Chapter 6: Pattern recognition and computer vision applications in Agriculture, GIS, Surveillance and Robotics. Chapter 7: Statistical Pattern Recognition and Supervised Learning

Chapter 8: Artificial Intelligence, Machine and Deep Learning for pattern recognition

Chapter 9: Image compression and Cloud Imaging

Chapter 10: Neural network and data science in image processing Chapter 11: Imaging acquisition and Biometrics

Chapter 12: Application of medical Imaging in telemedicine.

Chapter 13: Digital Image security, privacy, and future challenges

Chapter 14: AI methodologies for medical images analysis