[PDF.06nq] Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach
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Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach
[PDF.ay51] Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach
Statistical Image Processing Techniques Phillipe Réfrégier, François Goudail epub Statistical Image Processing Techniques Phillipe Réfrégier, François Goudail pdf download Statistical Image Processing Techniques Phillipe Réfrégier, François Goudail pdf file Statistical Image Processing Techniques Phillipe Réfrégier, François Goudail audiobook Statistical Image Processing Techniques Phillipe Réfrégier, François Goudail book review Statistical Image Processing Techniques Phillipe Réfrégier, François Goudail summary
| #1008694 in Books | Springer | 2003-12-31 | Original language:English | PDF # 1 | 9.32 x.53 x5.90l,1.32 | File type: PDF | 254 pages | |
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...
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