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Statistical Image Processing and Multidimensional Modeling (Hardcover, 2011 Ed.) Loot Price: R4,777
Discovery Miles 47 770
Statistical Image Processing and Multidimensional Modeling (Hardcover, 2011 Ed.): Paul Fieguth

Statistical Image Processing and Multidimensional Modeling (Hardcover, 2011 Ed.)

Paul Fieguth

Series: Information Science and Statistics

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Loot Price R4,777 Discovery Miles 47 770 | Repayment Terms: R448 pm x 12*

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Images are all around us The proliferation of low-cost, high-quality imaging devices has led to an explosion in acquired images. When these images are acquired from a microscope, telescope, satellite, or medical imaging device, there is a statistical image processing task: the inference of something--an artery, a road, a DNA marker, an oil spill--from imagery, possibly noisy, blurry, or incomplete. A great many textbooks have been written on image processing. However this book does not so much focus on images, per se, but rather on spatial data sets, with one or more measurements taken over a two or higher dimensional space, and to which standard image-processing algorithms may not apply. There are many important data analysis methods developed in this text for such statistical image problems. Examples abound throughout remote sensing (satellite data mapping, data assimilation, climate-change studies, land use), medical imaging (organ segmentation, anomaly detection), computer vision (image classification, segmentation), and other 2D/3D problems (biological imaging, porous media). The goal, then, of this text is to address methods for solving multidimensional statistical problems. The text strikes a balance between mathematics and theory on the one hand, versus applications and algorithms on the other, by deliberately developing the basic theory (Part I), the mathematical modeling (Part II), and the algorithmic and numerical methods (Part III) of solving a given problem. The particular emphases of the book include inverse problems, multidimensional modeling, random fields, and hierarchical methods.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Series: Information Science and Statistics
Release date: October 2010
First published: 2011
Authors: Paul Fieguth
Dimensions: 235 x 155 x 33mm (L x W x T)
Format: Hardcover
Pages: 454
Edition: 2011 Ed.
ISBN-13: 978-1-4419-7293-4
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Computing & IT > Applications of computing > Image processing > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 1-4419-7293-5
Barcode: 9781441972934

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