Topographical tools for filtering and segmentation. Volume 2, Flooding and marker-based segmentation on node- or edge-weighted graphs/
Mathematical morphology has developed a powerful methodology for segmenting images, based on connected filters and watersheds. We have chosen the abstract framework of node- or edge-weighted graphs for an extensive mathematical and algorithmic description of these tools. Volume 2 proposes two physic...
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Main Authors: | |
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Corporate Authors: | |
Published: |
ISTE, Ltd. ; Wiley,
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Publisher Address: | London, United Kingdom : Hoboken, NJ : |
Publication Dates: | 2019. |
Literature type: | eBook |
Language: | English |
Subjects: | |
Online Access: |
https://onlinelibrary.wiley.com/doi/book/10.1002/9781119575139 |
Summary: |
Mathematical morphology has developed a powerful methodology for segmenting images, based on connected filters and watersheds. We have chosen the abstract framework of node- or edge-weighted graphs for an extensive mathematical and algorithmic description of these tools. Volume 2 proposes two physical models for describing valid flooding on a node- or edge-weighted graph, and establishes how to pass from one to another. Many new flooding algorithms are derived, allowing parallel and local flooding of graphs. Watersheds and flooding are then combined for solving real problems. Their ability to model a real hydrographic basin represented by its digital elevation model constitutes a good validity check of the underlying physical models. The last part of Volume 2 explains why so many different watershed partitions exist for the same graph. Marker-based segmentation is the method of choice for curbing this proliferation. This book proposes new algorithms combining the advantages of the previous methods which treated node- and edge-weighted graphs differently. ' |
Item Description: | Description based on print version record. |
Carrier Form: |
1 online resource (xxxv, 242 pages) : illustrations Also available in print. |
Bibliography: | Includes bibliographical references and index. |
ISBN: |
9781119575139 1119575133 1119575125 9781119575122 1786304074 9781786304070 |
Index Number: | GA145 |
CLC: | P287 |