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Statistical Image Processing Techniques for Noisy Images
Phillipe Réfrégier
François Goudail
其他書名
An Application-Oriented Approach
出版
Springer Science & Business Media
, 2013-11-22
主題
Computers / Software Development & Engineering / Computer Graphics
Computers / Artificial Intelligence / Computer Vision & Pattern Recognition
Technology & Engineering / Remote Sensing & Geographic Information Systems
Science / Physics / Optics & Light
Mathematics / Probability & Statistics / General
Computers / Optical Data Processing
Computers / Software Development & Engineering / General
ISBN
1441988556
9781441988553
URL
http://books.google.com.hk/books?id=NZsACAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
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.