Emerging Trends in Image Processing, Computer Vision and Pattern Recognition ( Emerging Trends in Computer Science and Applied Computing )

Publication series :Emerging Trends in Computer Science and Applied Computing

Author: Deligiannidis   Leonidas;Arabnia   Hamid R  

Publisher: Elsevier Science‎

Publication year: 2014

E-ISBN: 9780128020920

P-ISBN(Paperback): 9780128020456

P-ISBN(Hardback):  9780128020456

Subject: TP Automation Technology , Computer Technology;TP3 Computers;TP317.4 Image processing software;TP39 computer application

Keyword: 自动化技术、计算机技术

Language: ENG

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Description

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 extracti

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