Hands-on Morphological Image Processing
Morphological image processing has become a standard part of the imaging scientist's toolbox and today is applied daily to a wide range of industrial applications, including (and certainly not limited to) inspection, biomedical imaging, document processing, pattern recognition, metallurgy, microscopy, and robot vision. Because the morphological operations can serve as a universal language for image processing, their application is only limited by the ability to design effective algorithms and efficient computational implementation. In the last decade, since the publication of An Introduction to Morphological Image Processing by SPIE Press, there have been many developments in morphological imaging, both in theory and practice. This book concentrates on applications. In keeping with the outlook of the previous book, we aim to provide a handbook that instructs how to analyze a problem and then how to develop successful algorithms based on the analysis. We take a holistic approach by showing how generic methods can be used in combination to solve practical problems. We include demonstrations to show how various morphological techniques can be combined to produce complete and effective algorithms.
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Hands-on Morphological Image Processing
Morphological image processing has become a standard part of the imaging scientist's toolbox and today is applied daily to a wide range of industrial applications, including (and certainly not limited to) inspection, biomedical imaging, document processing, pattern recognition, metallurgy, microscopy, and robot vision. Because the morphological operations can serve as a universal language for image processing, their application is only limited by the ability to design effective algorithms and efficient computational implementation. In the last decade, since the publication of An Introduction to Morphological Image Processing by SPIE Press, there have been many developments in morphological imaging, both in theory and practice. This book concentrates on applications. In keeping with the outlook of the previous book, we aim to provide a handbook that instructs how to analyze a problem and then how to develop successful algorithms based on the analysis. We take a holistic approach by showing how generic methods can be used in combination to solve practical problems. We include demonstrations to show how various morphological techniques can be combined to produce complete and effective algorithms.
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Hands-on Morphological Image Processing

Hands-on Morphological Image Processing

Hands-on Morphological Image Processing

Hands-on Morphological Image Processing

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Overview

Morphological image processing has become a standard part of the imaging scientist's toolbox and today is applied daily to a wide range of industrial applications, including (and certainly not limited to) inspection, biomedical imaging, document processing, pattern recognition, metallurgy, microscopy, and robot vision. Because the morphological operations can serve as a universal language for image processing, their application is only limited by the ability to design effective algorithms and efficient computational implementation. In the last decade, since the publication of An Introduction to Morphological Image Processing by SPIE Press, there have been many developments in morphological imaging, both in theory and practice. This book concentrates on applications. In keeping with the outlook of the previous book, we aim to provide a handbook that instructs how to analyze a problem and then how to develop successful algorithms based on the analysis. We take a holistic approach by showing how generic methods can be used in combination to solve practical problems. We include demonstrations to show how various morphological techniques can be combined to produce complete and effective algorithms.

Product Details

ISBN-13: 9780819447203
Publisher: SPIE Press
Publication date: 08/01/2003
Series: Tutorial Texts in Optical Engineering Series
Pages: 290
Product dimensions: 6.90(w) x 9.90(h) x 0.80(d)
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