Computer Vision in Control Systems-3
Aerial and Satellite Image Processing
By: Margarita N. Favorskaya, Lakhmi C. Jain
About This Book
The research book is a continuation of the authors’ previous works, which are focused on recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The book gathers selected contributions addressing aerial and satellite image processing and related fields. Topics covered include novel tensor and wave models, a new comparative morphology scheme, warping compensation in video stabilization, image deblurring based on physical processes of blur impacts, and a rapid and robust core structural verification algorithm for feature extraction in images and videos, among others. All chapters focus on practical implementations. Given the tremendous interest among researchers in the development and applications of computer vision paradigms in the field of business, engineering, medicine, security and aviation, this book offers a timely guide.
AI Overview
"Computer Vision in Control Systems-3" by Margarita N. Favorskaya and Lakhmi C. Jain is a research book that focuses on the application of computer vision in advanced control systems. Here is a comprehensive overview of the book:
Key Themes
- Aerial and Satellite Image Processing: The book primarily addresses aerial and satellite image processing, which is crucial for various control systems, including remote sensing and object detection.
- Object Detection: It explores algorithms and techniques for detecting objects against the background of multispectral satellite images, which is essential for thematic mapping and monitoring of natural objects.
- Data Analysis and Fusion: The book delves into complex data analysis and fusion techniques, which are vital for improving the accuracy of control systems.
- Medical Image Processing: Part II of the book is dedicated to medical image processing, including segmentation algorithms and morphological filtration, which are critical for diagnostic purposes.
Plot Summary
The book is structured to cover a wide range of topics related to computer vision in control systems. It includes:
- Introduction to Computer Vision: An overview of the field and its applications in control systems.
- Image Processing Techniques: Detailed discussions on various image processing techniques, including filtering, segmentation, and object detection.
- Advanced Algorithms: Novel algorithms for object detection, data transmission, and data fusion.
- Medical Applications: Specific chapters on medical image processing, including histological image segmentation and morphological filtration.
- Case Studies and Applications: Practical examples and case studies demonstrating the application of these techniques in real-world scenarios.
Critical Reception
While specific reviews are not provided in the sources, the book is part of the Intelligent Systems Reference Library, which is well-regarded for its contributions to the field of intelligent systems. The series is indexed in major academic databases such as ISI Web of Science, SCOPUS, DBLP, and Springerlink, indicating its academic credibility.
Target Audience
The book is directed towards Ph.D. students, professors, researchers, and software developers working in the areas of digital video processing and computer vision technologies. It aims to provide a comprehensive resource for those interested in improving algorithms and techniques in various scopes, including object detection, remote sensing, data transmission, and medical image processing.
Conclusion
"Computer Vision in Control Systems-3" by Margarita N. Favorskaya and Lakhmi C. Jain is a significant contribution to the field of computer vision and control systems. It offers a detailed exploration of advanced techniques and algorithms, making it a valuable resource for researchers and practitioners in the field.