[PDF.06uo] Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach

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

[PDF.gn81] Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach

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 | #5411926 in Books |  Springer |  2003-12-31 | Original language:English | PDF # 1 |  9.32 x.53 x5.90l,1.32 | File type: PDF | 254 pages

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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-conven...

You can specify the type of files you want, for your gadget.Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach   |  Phillipe Réfrégier, François Goudail. A good, fresh read, highly recommended.

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