Emerging Trends in Image Processing, Computer Vision and Pattern Recognition
| Verlag | Morgan Kaufmann |
| Auflage | 2014 |
| Seiten | 640 |
| Format | 18,6 x 23,2 x 2,6 cm |
| Gewicht | 1296 g |
| Artikeltyp | Englisches Buch |
| Reihe | Emerging Trends in Computer Science and Applied Computing |
| ISBN-10 | 0128020458 |
| EAN | 9780128020456 |
| Bestell-Nr | 12802045EA |
Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which at its core consists of three intertwined computer science fields, namely: Image Processing, Computer Vision, and Pattern Recognition. There is significant renewed interest in each of these three fields fueled by Big Data and Data Analytic initiatives including but not limited to; applications as diverse as computational biology, biometrics, biomedical imaging, robotics, security, and knowledge engineering. These three core topics discussed here provide a solid introduction to image processing along with low-level processing techniques, computer vision fundamentals along with examples of applied applications and pattern recognition algorithms and methodologies that will be of value to the image processing and computer vision research communities.
Drawing upon the knowledge of recognized experts with years of practical experience and dis cussing new and novel applications Editors' Leonidas Deligiannidis and Hamid Arabnia cover;
Many perspectives of image processing spanning from fundamental mathematical theory and sampling, to image representation and reconstruction, filtering in spatial and frequency domain, geometrical transformations, and image restoration and segmentation Key application techniques in computer vision some of which are camera networks and vision, image feature extraction, face and gesture recognition and biometric authentication Pattern recognition algorithms including but not limited to; Supervised and unsupervised classification algorithms, Ensemble learning algorithms, and parsing algorithms. How to use image processing and visualization to analyze big data.
