Read Mathematics of Shape Description: A Morphological Approach to Image Processing and Computer Graphics

Mathematics of Shape Description: A Morphological Approach to Image Processing and Computer Graphics

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Description:Image processing problems are often not well defined because real images are contaminated with noise and other uncertain factors. In "Mathematics of Shape Description," the authors take a mathematical approach to address these problems using the morphological and set-theoretic approach to image processing and computer graphics by presenting a simple shape model using two basic shape operators called Minkowski addition and decomposition.This book is ideal for professional researchers and engineers in Information Processing, Image Measurement, Shape Description, Shape Representation and Computer Graphics. Post-graduate and advanced undergraduate students in pure and applied mathematics, computer sciences, robotics and engineering will also benefit from this book.Key FeaturesExplains the fundamental and advanced relationships between algebraic system and shape description through the set-theoretic approachPromotes interaction of image processing geochronology and mathematics in the field of algebraic geometryProvides a shape description scheme that is a notational system for the shape of objectsOffers a thorough and detailed discussion on the mathematical characteristics and significance of the Minkowski operatorsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Mathematics of Shape Description: A Morphological Approach to Image Processing and Computer Graphics. To get started finding Mathematics of Shape Description: A Morphological Approach to Image Processing and Computer Graphics, you are right to find our website which has a comprehensive collection of manuals listed.
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Pages: 264

Format: PDF, EPUB & Kindle Edition

Publisher: Wiley

Release: 2009

ISBN: 0470823089

Description: Image processing problems are often not well defined because real images are contaminated with noise and other uncertain factors. In "Mathematics of Shape Description," the authors take a mathematical approach to address these problems using the morphological and set-theoretic approach to image processing and computer graphics by presenting a simple shape model using two basic shape operators called Minkowski addition and decomposition.This book is ideal for professional researchers and engineers in Information Processing, Image Measurement, Shape Description, Shape Representation and Computer Graphics. Post-graduate and advanced undergraduate students in pure and applied mathematics, computer sciences, robotics and engineering will also benefit from this book.Key FeaturesExplains the fundamental and advanced relationships between algebraic system and shape description through the set-theoretic approachPromotes interaction of image processing geochronology and mathematics in the field of algebraic geometryProvides a shape description scheme that is a notational system for the shape of objectsOffers a thorough and detailed discussion on the mathematical characteristics and significance of the Minkowski operatorsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Mathematics of Shape Description: A Morphological Approach to Image Processing and Computer Graphics. To get started finding Mathematics of Shape Description: A Morphological Approach to Image Processing and Computer Graphics, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Mathematics of Shape Description: A Morphological Approach to Image Processing and Computer Graphics

Mathematics of Shape Description: A Morphological Approach to Image Processing and Computer Graphics

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