This book covers the technology of digital image processing in various fields with big data and their applications. Readers will understand various technologies and strategies used in digital image processing as well as handling big data, using machine-learning techniques. This book will help to improve the skills of students and researchers in such fields as engineering, agriculture, and medical imaging.
There is a need to be able to understand and analyse the latest developments of digital image technology. As such, this book will cover:
· Applications such as biomedical science and biometric image processing, content-based image retrieval, remote sensing, pattern recognition, shape and texture analysis
· New concepts in color interpolation to produce the full color from the sub-pattern bare pattern color prevalent in today's digital cameras and other imaging devices
· Image compression standards that are needed to serve diverse applications
· Applications of remote sensing, medical science, traffic management, education, innovation, and analysis in agricultural design and image processing
· Both soft and hard computing approaches at great length in relation to major image processing tasks
· The direction and development of current and future research in many areas of image processing
· A comprehensive bibliography for additional research (integrated within the framework of the book)
This book focuses not only on theoretical and practical knowledge in the field but also on the traditional and latest tools and techniques adopted in image processing and data science. It also provides an indispensable guide to a wide range of basic and advanced techniques in the fields of image processing and data science.
Table of Contents
Part I Concept and Background of Image processing, Techniques, and Big Data. Chapter 1. Introduction to Advanced Digital Image Processing. Chapter 2: Different Techniques Used for Image Processing. Chapter 3. Role and Support of Image Processing in Big Data. Part II Advanced Image Processing Technical Phases for Big Data Analysis. Chapter 4. Advanced Object Detection and Clustering Techniques Used for Big Data. Chapter 5: Advanced Image Segmentation Techniques Used for Big Data. Chapter 6: Advanced Image Compression Techniques Used for Big Data. Part III: Various Application of Image Processing. Chapter 7. Application of Image Processing and Data in Remote Sensing. Chapter 8. Application of Image Processing and Data Science in Medical Science. Chapter 9. Application of Image Processing in Traffic Management and Analysis. Chapter 10. Application of Image Processing and Data Science in Advancing Education Innovation. Chapter 11. Application of Image Processing and Data Science in Advancing Agricultural Design.
Dr. Ankur Dumka is working as Associate Professor in Graphic Era Deemed to be University, Dehradun, India. He is having more than 10 years of experience with academic and industry exposure. He is having more than 50 research papers in reputed journals and conferences. He contributed 3 books with publishers like Taylor and Francis, IGI global. He is having nearly 15 book chapters with different publishers. He has published 3 patents under his name. He is also associated with many journals in the capacity of editor, editorial board members and guest editor. He is also coordinator and member of smart city Dehradun, Uttarakhand, India.
Dr. Alaknanda Ashok is working as Professor and Dean, College of Technology, G.B.Pant University of Agriculture and Technology, Pantnagar. She is having a large administrative experience as director, Women Institute of technology and controller of examiner of Uttarakhand technical University. She is having more than 50 research papers in reputed journals and conferences of repute. She has also many book chapters. She is having 3 patents published. She is having many research project completed and undertaking under her supervision. She is also associated with many journals anc conferences in the capacity of editor, editorial board member and chair of conferences.
Mr. Parag Verma is working as Assistant Professor at Uttaranchal University, Dehradun. He is having a long experience of 8+ years in the field of industry and academics. He is having 15+ international papers in reputed conferences and journals. He has contributed 2 books with publishers like Nerosa and Alpha, and currently working on 2 more accepted books. He had also contributed 4 chapters for reputed publishers. He is also an editorial board member of many reputed conferences and journals including Scopus. He is also a guest editor of IJNCDS (Scopus Indexed inderscience Journal) and many more. He is associated with many societies and organizations for the welfare of educationalist societies.
Poonam Verma is a Ph.D student of the Computer Science Department of Graphic Era Deemed to be University at Dehradun. She received the Master’s Degree from AKTU, Uttarpradesh in the Computer Science and Engineering. She has qualified UGC NET in 2017. Her interest areas of research are Deep Learning and Blockchain. She is currently working as Asst. Prof in GEHU, Dehradun.