A Beginner’s Guide to Multi-Level Image Thresholding
- Available for pre-order. Item will ship after November 20, 2020
A Beginner’s Guide to Image Multi-Level Thresholding emphasizes various image thresholding methods that are necessary for image pre-processing and initial level enhancement.
- Explains basic concepts and the implementation of Image Multi-Level Thresholding (grayscale and RGB images)
- Presents a detailed evaluation in real-time application, including the need for heuristic algorithm, the choice of objective and threshold function, and the evaluation of the outcome
- Describes how the image thresholding acts as a pre-processing technique and how the region of interest in a medical image is enhanced with thresholding
- Illustrates integration of the thresholding technique with bio-inspired algorithms
- Includes current findings and future directions of image multi-level thresholding and its practical implementation
- Emphasizes the need for multi-level thresholding with suitable examples
The book is aimed at graduate students and researchers in image processing, electronics engineering, computer sciences and engineering.
Table of Contents
1. Introduction 2. Thresholding Approaches 3. Grayscale and RGB-scale Image Examination 4. Heuristic Algorithm Assisted Thresholding 5. Objective Function and Image Quality Measures 6. Assessment of Images with Constraints 7. Thresholding of Benchmark Images 8. Thresholding of Biomedical Images 9. Thresholding of Plant-Weed images 10. Conclusion
Venkatesan Rajinikanth is a Professor in Department of Electronics and Instrumentation Engineering at St. Joseph’s College of Engineering, Chennai 600119, Tamilnadu, India. Recently he edited a book titled ‘Advances in Artificial Intelligence Systems’, Nova Science publisher, USA. He has published more than 75 papers. His h-index is 22 with more than 1200 citations. He is the Associate Editor of Int. J. of Rough Sets and Data Analysis (IGI Global,US, DBLP,ACM dl) and Editing/Edited Special Issues in journals; Current Signal Transduction Therapy, Current Medical Imaging Reviews and International Journal of Swarm Intelligence Research.His main research interests include Medical Imaging, Machine learning, and Computer Aided Diagnosis as well as Data Mining. Research Gate: https://www.researchgate.net/profile/Venkatesan_Rajinikanth Orcid: https://orcid.org/0000-0003-3897-4460 N. Sri Madhava Raja is passionate towards teaching and has 16 years of experience at Engineering Colleges. Currently he is serving St. Joseph's College of Engineering, Chennai, India as an Associate Professor. He had earned his doctorate in the area of biomedical engineering in 2014. He has completed his post graduation in Process Control and Instrumentation in 2002. His under graduation was secured in Electrical and Electronics Engineering in 2001. He is also a ardent researcher and his major areas of research are medical image processing, optimisation algorithms, heuristic algorithms and biomechanics. His 50+ research works have been published in renowned journals and conference proceedings. He has also contributed a couple of chapters to books which are related to optimisation techniques. Research Gate: https://www.researchgate.net/profile/N_Raja2 Google Scholar: https://scholar.google.com/citations?user=Lpxxye8AAAAJ&hl=en Nilanjan Dey is an Assistant Professor in Department of Information Technology at Techno India College of Technology (under Techno India Group), Kolkata, India. He is a visiting fellow of University of Reading, London, UK and visiting Professor of Duy Tan University, Vietnam. He was an honorary Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He is a Research Scientist of Laboratory of Applied Mathematical Modeling in Human Physiology, Territorial Organization of- Scientific and Engineering Unions, Bulgaria. Associate Researcher of Laboratoire RIADI, University of Manouba, Tunisia. He is a Scientific Member of - Politécnica of Porto. He was awarded his PhD. from Jadavpur University in 2015. In addition, recently he was awarded as one among the top 10 most published academics in the field of Computer Science in India (2015-17) during 'Faculty Research Awards' organized by Careers 360 at New Delhi, India. Before he joined Techno India, he was Assistant Professor of JISCollege of Engineering and Bengal College of Engineering and Technology. He has authored/edited more than 60 books with Elsevier, Wiley, CRC Press and Springer, and published more than 300 papers. His h-index is 35 with more than 5500 citations. He is the Editor-in-Chief of Int. J. of Ambient Computing and Intelligence (IJACI, IGI Global,US [Q2]. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (STNIC), Springer, Series Co-Editor of Advances in Ubiquitous Sensing Applications for Healthcare (AUSAH), Elsevier, Series Editor of Computational Intelligence in Engineering Problem Solving and Intelligent Signal processing and data analysis, CRC Press (FOCUS/Brief Series) and Advances in Geospatial Technologies (AGT) Book Series, (IGI Global), US, serves as an editorial board member of several international journals, including International Journal of Image Mining (IJIM), Inderscience, Associated Editor of IEEE Access (SCI-Indexed), and International Journal of Information Technology, Springer. His main research interests include Medical Imaging, Machine learning, Computer Aided Diagnosis as well as Data Mining. He has been on program committees of over 100 international conferences, a workshop organizer of 15 workshops, and acted as a program co-chair and/or advisory chair of more than 55 international conferences. He has given more than 60 invited lectures in 10 countries, including many invited plenary/keynote talks at the international conferences such as ITITS2017; ITITS2018 (China), TIMEC2017 (Egypt) and BioCom2018 (UK) etc. Research Gate:https://www.researchgate.net/profile/Nilanjan_Dey3 Google Scholar:https://scholar.google.co.in/citations?user=uZmrRHAAAAAJ&hl=en Amazon Profile: https://www.amazon.com/Nilanjan-Dey/e/B01MSMZDF1?