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Phillipe Réfrégier, François Goudail, "Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach"

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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	Programming A Simplified Approach to Image Processing: Classical and Modern Techniques in C ( code)
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	Programming A Simplified Approach to Image Processing: Classical and Modern Techniques in C ( code)
	Technical Image Processing in C: Analyzing and Enhancing Digital Images Image Processing in C: Analyzing and Enhancing Digital Images with 3.5 Disk by Dwayne Philipps (Author)Publisher: cmp (August 1, 1997) \| ISBN-10: 087930443X \| PDF \| 5,3 Mb \| 720 pagesThis book is a tutorial on image processing. Each chapte ...
	Programming A Simplified Approach to Image Processing: Classical and Modern Techniques in C (HP Professional), With Code by Randy Crane , «A Simplified Approach to Image Processing: Classical and Modern Techniques in C (HP Professional), With Code »Prentice Hall PTR \| August 16, 1996 \| English \| ISBN: 0132264161 \| 336 pages \| PDF \| 12 Mb Image processing, t ...
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