Feature Extraction & Image Processing
2nd Edition
Published on 8. January 2008
424 pages
978-0-08-055672-7 (ISBN)
Description
Whilst other books cover a broad range of topics, Feature Extraction and Image Processing takes one of the prime targets of applied computer vision, feature extraction, and uses it to provide an essential guide to the implementation of image processing and computer vision techniques. Acting as both a source of reference and a student text, the book explains techniques and fundamentals in a clear and concise manner and helps readers to develop working techniques, with usable code provided throughout. The new edition is updated throughout in line with developments in the field, and is revised to focus on mathematical programming in Matlab.
- Essential reading for engineers and students working in this cutting edge field
- Ideal module text and background reference for courses in image processing and computer vision
More details
Other editions
Additional editions
Mark Nixon
Feature Extraction & Image Processing
Book
12/2007
2nd Edition
Academic Press
€61.89
Article exhausted; check for reprint
Previous edition
MSc Nixon BSc
Feature Extraction and Image Processing
E-Book
10/2013
1st Edition
Elsevier
€47.95
Available for download
Person
Mark Nixon is the Professor in Computer Vision at the University of Southampton UK. His research interests are in image processing and computer vision. His team develops new techniques for static and moving shape extraction which have found application in biometrics and in medical image analysis. His team were early workers in automatic face recognition, later came to pioneer gait recognition and more recently joined the pioneers of ear biometrics. With Tieniu Tan and Rama Chellappa, their book Human ID based on Gait is part of the Springer Series on Biometrics and was published in 2005. He has chaired/ program chaired many conferences (BMVC 98, AVBPA 03, IEEE Face and Gesture FG06, ICPR 04, ICB 09, IEEE BTAS 2010) and given many invited talks. Dr. Nixon is a Fellow IET and a Fellow IAPR.
Content
Introduction; Images, smapling and frequency domain processing; Basic image processing operations; Low-level feature extraction and edge detection; Feature extraction by shape matching; Flexible shape extraction; Object description; Intoduction to texture description, segmentation and classification; Appendices
