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 discussing 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.
