:
Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach by François Goudail
English | PDF | 2004 | 261 Pages | ISBN : 030647865X | 27 MB
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.
Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
https://hot4share.com/hn67vuqlwylv/h3hgl.S.I.P.T.f.N.I.A.A.A.R.rar.html
https://rapidgator.net/file/b04a5cf689cb36bb85fff6a95a11bc43/h3hgl.S.I.P.T.f.N.I.A.A.A.R.rar.html
https://uploadgig.com/file/download/7DAeedf7b66A2873/h3hgl.S.I.P.T.f.N.I.A.A.A.R.rar
https://nitro.download/view/56381D1700A9427/h3hgl.S.I.P.T.f.N.I.A.A.A.R.rar