Springer
Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach
Product Code:
9781461346920
ISBN13:
9781461346920
Condition:
New
$61.47
Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach
$61.47
Statistical Processing Techniques for Noisy Images presents a statistical framework to design algorithms for target detection, tracking, segmentation and classification (identification). Its main goal is to provide the reader with efficient tools for developing algorithms that solve his/her own image processing applications. In particular, such topics as hypothesis test-based detection, fast active contour segmentation and algorithm design for non-conventional imaging systems are comprehensively treated, from theoretical foundations to practical implementations. With a large number of illustrations and practical examples, this book serves as an excellent textbook or reference book for senior or graduate level courses on statistical signal/image processing, as well as a reference for researchers in related fields.
| Author: Phillipe R??r??ier |
| Publisher: Springer |
| Publication Date: Nov 17, 2013 |
| Number of Pages: 254 pages |
| Binding: Paperback or Softback |
| ISBN-10: 1461346924 |
| ISBN-13: 9781461346920 |
Related Products
Sale 7%
