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Mathematical Morphology and its Applications to Image and...

Mathematical Morphology and its Applications to Image and Signal Processing

John Goutsias, Luc Vincent, Dan S. Bloomberg (eds.)
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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 SignalProcessing, 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.

年:
2002
出版:
1
出版社:
Springer US
语言:
english
页:
446
ISBN 10:
0792378628
ISBN 13:
9780792378624
系列:
Computational Imaging and Vision 18
文件:
PDF, 10.00 MB
IPFS:
CID , CID Blake2b
english, 2002
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