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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics

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Mathematical Morphology and Its Applications to Image and Signal Processing (Hardcover, 2000 ed.) Loot Price: R5,692
Discovery Miles 56 920
Mathematical Morphology and Its Applications to Image and Signal Processing (Hardcover, 2000 ed.): John Goutsias, Luc Vincent,...

Mathematical Morphology and Its Applications to Image and Signal Processing (Hardcover, 2000 ed.)

John Goutsias, Luc Vincent, Dan S. Bloomberg

Series: Computational Imaging and Vision, 18

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Loot Price R5,692 Discovery Miles 56 920 | Repayment Terms: R533 pm x 12*

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Mathematical morphology is a powerful methodology for the processing and analysis of geometric structure in signals and images. This book contains the proceedings of the fifth International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, held June 26-28, 2000, at Xerox PARC, Palo Alto, California. It provides a broad sampling of the most recent theoretical and practical developments of mathematical morphology and its applications to image and signal processing. Areas covered include: decomposition of structuring functions and morphological operators, morphological discretization, filtering, connectivity and connected operators, morphological shape analysis and interpolation, texture analysis, morphological segmentation, morphological multiresolution techniques and scale-spaces, and morphological algorithms and applications. Audience: The subject matter of this volume will be of interest to electrical engineers, computer scientists, and mathematicians whose research work is focused on the theoretical and practical aspects of nonlinear signal and image processing. It will also be of interest to those working in computer vision, applied mathematics, and computer graphics.

General

Imprint: Springer
Country of origin: Netherlands
Series: Computational Imaging and Vision, 18
Release date: February 2003
First published: May 2000
Editors: John Goutsias • Luc Vincent • Dan S. Bloomberg
Dimensions: 234 x 156 x 25mm (L x W x T)
Format: Hardcover
Pages: 446
Edition: 2000 ed.
ISBN-13: 978-0-7923-7862-4
Categories: Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN: 0-7923-7862-8
Barcode: 9780792378624

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