{"product_id":"9781461346920","title":"Statistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach","description":"\u003ch1\u003eStatistical Image Processing Techniques for Noisy Images: An Application-Oriented Approach\u003c\/h1\u003e \u003ch2\u003eRéfrégier, Phillipe; Goudail, François\u003c\/h2\u003e \u003cp\u003e\u003cstrong\u003eStatistical Processing Techniques for Noisy Images\u003c\/strong\u003e 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.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2013-11-17\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9781461346920\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4419-8855-3\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 254\u003c\/p\u003e ","brand":"Springer US","offers":[{"title":"Default Title","offer_id":47672326684812,"sku":"9781461346920","price":49.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781461346920.jpg?v=1776523041","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781461346920","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}