| 书目名称 | Mathematical Morphology and Its Applications to Image and Signal Processing | | 编辑 | John Goutsias,Luc Vincent,Dan S. Bloomberg | | 视频video | | | 丛书名称 | Computational Imaging and Vision | | 图书封面 |  | | 描述 | Mathematical morphology is a powerful methodology for theprocessing and analysis of geometric structure in signals and images.This book contains the proceedings of the fifth InternationalSymposium on .Mathematical Morphology and its Applications to Imageand Signal. .Processing., held June 26-28, 2000, at XeroxPARC, Palo Alto, California. It provides a broad sampling of the mostrecent theoretical and practical developments of mathematicalmorphology and its applications to image and signal processing. Areascovered include: decomposition of structuring functions andmorphological operators, morphological discretization, filtering,connectivity and connected operators, morphological shape analysis andinterpolation, texture analysis, morphological segmentation,morphological multiresolution techniques and scale-spaces, andmorphological algorithms and applications. ..Audience:. The subject matter of this volume will be of interestto electrical engineers, computer scientists, and mathematicians whoseresearch work is focused on the theoretical and practical aspects ofnonlinear signal and image processing. It will also be of interest tothose working in computer vision, applied mathematics, and | | 出版日期 | Book 2000 | | 关键词 | 3D; Augmented Reality; Mapping; filter; image processing; topology | | 版次 | 1 | | doi | https://doi.org/10.1007/b117970 | | isbn_softcover | 978-1-4757-7355-2 | | isbn_ebook | 978-0-306-47025-7Series ISSN 1381-6446 | | issn_series | 1381-6446 | | copyright | Springer Science+Business Media New York 2000 |
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发表于 2025-3-21 19:21:35
