Isbn: 9781441972934 - statistical image processing and multidimensional modeling (information science and statistics) (2 Ergebnisse)

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    • Sprache: Englisch

      Verlag: Springer, 2010

      1441972935 / 9781441972934

      Serie: Buch 13 von 20 - Information Science and Statistics

      • Hardcover

      Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections

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      Zustand: Neu

      EUR 165,64

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    • Sprache: Englisch

      Verlag: Springer New York, 2010

      1441972935 / 9781441972934

      Serie: Buch 13 von 20 - Information Science and Statistics

      • Hardcover

      Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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      Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.