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From Gestalt Theory to Image Analysis: A Probabilistic Approach (Interdisciplinary Applied Mathematics)

Agnès Desolneux, Lionel Moisan, Jean-Michel Morel




[PDF.cv57] From Gestalt Theory to Image Analysis: A Probabilistic Approach (Interdisciplinary Applied Mathematics)

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 | #4805753 in Books |  2007-12-18 | Original language:English | PDF # 1 |  9.55 x.73 x6.41l,1.14 | File type: PDF | 276 pages

|| ||From the reviews:|"This book tells the story of how to construct objects form images, in a way closely related to human perception. ... contains many illustrations and images that are analyzed, from various fields of applied science. ... References in the end

This book introduces a new theory in Computer Vision yielding elementary techniques to analyze digital images. These techniques are a mathematical formalization of the Gestalt theory. From the mathematical viewpoint the closest field to it is stochastic geometry, involving basic probability and statistics, in the context of image analysis. The book is mathematically self-contained, needing only basic understanding of probability and calculus. The text includes more th...

You easily download any file type for your device.From Gestalt Theory to Image Analysis: A Probabilistic Approach (Interdisciplinary Applied Mathematics)   |  Agnès Desolneux, Lionel Moisan, Jean-Michel Morel. Which are the reasons I like to read books. Great story by a great author.

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