Statistical Image Processing Techniques for Noisy Images is popular PDF and ePub book, written by Phillipe Réfrégier in 2013-11-22, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Statistical Image Processing Techniques for Noisy Images can be Read Online from any device for your convenience.
Statistical Image Processing Techniques for Noisy Images Book PDF Summary
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.
Detail Book of Statistical Image Processing Techniques for Noisy Images PDF
- Author : Phillipe Réfrégier
- Release : 22 November 2013
- Publisher : Springer Science & Business Media
- ISBN : 9781441988553
- Genre : Computers
- Total Page : 261 pages
- Language : English
- PDF File Size : 14,8 Mb
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