- Full Description
Recently, there has been a dramatic increase in the use of sensors in the non-visible bands. As a result, there is a need for existing computer vision methods and algorithms to be adapted for use with non-visible sensors, or for the development of completely new methods and systems. Computer Vision Beyond the Visible Spectrum is the first book to bring together state-of-the-art work in this area. It presents new & pioneering research across the electromagnetic spectrum in the military, commercial, and medical domains. By providing a detailed examination of each of these areas, it focuses on the development of state-of-the-art algorithms and looks at how they can be used to solve existing & new challenges within computer vision. Essential reading for academics & industrial researchers working in the area of computer vision, image processing, and medical imaging, it will also be useful background reading for advanced undergraduate & postgraduate students.
- Table of Contents
Table of Contents
- A Theoretical Framework for Predicting Performance of Object Recognition.
- Methods for Improving the Performance of a SAR Recognition System.
- Dimensional Laser Radar Recognition Approaches.
- Target Classification Using Adaptive Feature Extraction and Subspace Projection for Hyperspectral Imagery.
- Moving Object Detection and Compression in IR Sequences.
- Face Recognition in the Thermal Infared.
- Cardiovascular MR Image Analysis.
- Visualization and Segmentation Techniques in 3D Ultrasound Images.
- Frequency Analysis in Terahertz Pulsed Imaging.
If you think that you've found an error in this book, please let us know by emailing to email@example.com . You will find any confirmed erratum below, so you can check if your concern has already been addressed. No errata are currently published