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.
Phillipe Réfrégier, François Goudail ebooks downloads
Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach book series pdf
Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach by Phillipe Réfrégier, François Goudail ebook pdf epub mobi
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