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    3. Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach (Repost)

    Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach (Repost)

    Posted By: AvaxGenius
    Date: 20 Feb 2022 22:46:38
    Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach (Repost)

    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.
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