"There is a drastic growth in multimedia data. Even during the Covid-19 pandemic, we observed that the images helped doctors immensely in fast detection of Covid-19 infection in patients. There are many critical applications where images play a vital role. These applications use raw image data to extract some useful information about the world around us. Quick extraction of valuable information from raw images is one challenge that academicians and professionals face nowadays. This is where image processing comes into action. Image processing's primary purpose is to get an enhanced image or extract some useful information from it. Therefore, there is a major need for some technique or system that addresses this challenge. Intelligent Systems have emergedas a solution to address quick image information extraction. In simple words, an Intelligent System can be defined as a mathematical model that adapts itself to deal with the problems' dynamicity. These systems learn how to act so it can reach their objectives. Intelligent System helps accomplish various image processing functions like enhancement, segmentation, reconstruction, object detection, and morphing. The advent of Intelligent Systems in the image processing field has leveraged many critical applications for humankind. These critical applications include factory automation, biomedical imaging analysis, and decision-econometrics, Intelligent Systems and challenges"--
During the Covid-19 pandemic, we observed that the images helped doctors immensely in fast detection of Covid-19 infection in patients. There are many critical applications which use image processing to extract some useful information from raw image data.
There is a drastic growth in multimedia data. Even during the Covid-19 pandemic, we observed that the images helped doctors immensely in fast detection of Covid-19 infection in patients. There are many critical applications where images play a vital role. These applications use raw image data to extract some useful information about the world around us. Quick extraction of valuable information from raw images is one challenge that academicians and professionals face nowadays. This is where image processing comes into action. Image processing's primary purpose is to get an enhanced image or extract some useful information from it. Therefore, there is a major need for some technique or system that addresses this challenge. Intelligent Systems have emerged as a solution to address quick image information extraction. In simple words, an Intelligent System can be defined as a mathematical model that adapts itself to deal with the problems' dynamicity. These systems learn how to act so it can reach their objectives. Intelligent System helps accomplish various image processing functions like enhancement, segmentation, reconstruction, object detection, and morphing. The advent of Intelligent Systems in the image processing field has leveraged many critical applications for humankind. These critical applications include factory automation, biomedical imaging analysis, and decision-econometrics, Intelligent Systems and challenges.
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| Contributors |
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| Acknowledgement |
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Chapter 1 Digital Image Processing: Theory and Applications |
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Chapter 2 Content-Based Image Retrieval Using Texture Features |
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Chapter 3 Use of Computer Vision Techniques in Healthcare Using MRI Images |
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Chapter 4 Hierarchical Clustering Fuzzy Features Subset Classifier with Ant Colony Optimization for Lung Image Classification |
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Chapter 5 Health-Mentor: A Personalized Health Monitoring System Using the Internet of Things and Blockchain Technologies |
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Chapter 6 Image Analysis Using Artificial Intelligence in Chemical Engineering Processes: Current Trends and Future Directions |
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Chapter 7 Automatic Vehicle Number Plate Text Detection and Recognition Using MobileNet Architecture for a Single Shot Detection (SSD) Technique |
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Chapter 8 Medical Image Compression Using a Radial Basic Function Neural Network: Towards Aiding the Teleradiology for Medical Data Storage and Transfer |
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Chapter 9 Prospects of Wearable Inertial Sensors for Assessing Performance of Athletes Using Machine Learning Algorithms |
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Chapter 10 Long Short-Term Memory Neural Network, Bottleneck Distance, and Their Combination for Topological Facial Expression Recognition |
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Chapter 11 A Comprehensive Assessment of Recent Advances in Cervical Cancer Detection for Automated Screening |
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Chapter 12 A Comparative Performance Study of Feature Selection Techniques for the Detection of Parkinson's Disease from Speech |
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Chapter 13 Enhancing Leaf Disease Identification with GAN for a Limited Training Dataset |
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Chapter 14 A Vision-Based Segmentation Technique Using HSV and YCbCr Color Model |
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Chapter 15 Medical Anomaly Detection Using Human Action Recognition |
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Chapter 16 Architecture, Current Challenges, and Research Direction in Designing Optimized, IoT-Based Intelligent Healthcare Systems |
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Chapter 17 Wireless Body Area Networks (WBANs) -- Design Issues and Security Challenges |
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Chapter 18 Cloud of Things: A Survey on Critical Research Issues |
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Chapter 19 Evaluating Outdoor Environmental Impacts for Image Understanding and Preparation |
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Chapter 20 Telemedicine: A New Opportunity for Transforming and Improving Rural India's Healthcare |
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Mr. Prateek Singhal is an Assistant Professor in the Department of Computer Science & Engineering at Sagar Institute of Research Technology, Bhopal. He is pursuing Ph.D. degree on the Medical Imaging from the Maharishi University of Information Technology, Lucknow, India. He has more than four years of experience in research and teaching. He has published several research articles in SCI/SCIE/Scopus journals and conferences of high repute. He has also authored a book on Cloud Computing. He has various National and international patents and some are granted. He holds contribution in IEEE, Elsevier, etc. repute journal. He is in the team of the research advisory member in his present institute. His current areas of interest include Image Processing, Medical Imaging, Human Computation Interface, Neuro-Computing, Internet of Things.
Dr. Abhishek Verma is an Assistant Professor in the Department of Computer Science & Engineering at IIIT Jabalpur, India (an institution of national importance). He obtained Ph.D. degree (2020) on the Internet of Things security from the National Institute of Technology Kurukshetra, Haryana, India. He has more than seven years of experience in research and teaching. He has published several research articles in international SCI/SCIE/Scopus journals and conferences of high repute. He is an editorial board member of Research Reports on Computer Science (RRCS) and active review board member of various reputed journals, including IEEE, Springer, Wiley, and Elsevier. His current areas of interest include Information Security, Intrusion Detection, and the Internet of Things.
Dr. Prabhat Kumar Shrivastava is an Professor with the Department of Computer Science & Engineering, Quantum University, Roorkee, Uttarakhand, India He earned his doctorate in Sam Higginbottom University of Agriculture and Technology & Science Allahabad U.P. The area of research is "A soft computing Approach for Fuzzy Data Modelling". He has authored and published a significant number of research articles in peer-reviewed and indexed journals and conferences of high repute. He has also authored a book on Cloud Computing. He has also published various national and international patents. He is also a reviewer member of various repute reviewer board member. His interest in networking, data structure, soft computing.
Dr. Virender Ranga is currently working as an Assistant Professor with the Department of Computer Science and Engineering, National Institute of Technology, Kurukshetra, India. He has more than 15 years of experience in academic, research and administrative capacities. He is a distinguished Researcher, well known in Academic Fraternity for his interdisciplinary research in the areas of Wireless and Adhoc & senor networks. He holds the credit of contribution in several quality research journals of international repute published by IEEE, ACM, IET, Elsevier, etc.
Dr. Ram Kumar is presently working as Assistant Professor at the Department of Electrical and Electronics Engineering at Katihar Engineering College, Bihar, India. He has over nine years of experience in academics (teaching/training), research & development and consulting. He holds the credit of contribution in several quality research journals of international repute published by IEEE, ACM, IET, Elsevier, etc. He is a distinguished Researcher, well known in Academic Fraternity for his interdisciplinary research in the areas of Wireless and Adhoc & senor networks. He has also published various national and international patents. He has various publications in reputed international journals, conference proceedings/book chapters and edited one book.
