Morphological Image Analysis: Principles and Applications
Abstract
From the Publisher: The purpose of this book is to provide readers with an in-depth presentation of the principles and applications of morphological image analysis. This is achieved through a step by step process starting from the basic morphological operators and extending to the most recent advances which have proven their practical usefulness. This self-contained volume will be valuable to all engineers, scientists, and practitioners interested in the analysis and processing of digital images.
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Fixing topological artifacts typically requires handcrafted refinement rules or architectures specialized to a particular task.
“Fixing these artifacts typically requires handcrafted refinement rules or architectures specialized to a particular task.”
From rNCA: Self-Repairing Segmentation Masks (2025) · cites this paper as [17]
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rNCA: Self-Repairing Segmentation Masks
Silbernagel, M., Alonso, A., Petersen, J., Ibragimov, B., de Bruijne, M., & Wyburd, M. K. (2025) · arXiv · doi:10.48550/arxiv.2512.13397
- Authors
- Soille, P.
- Corresponding author
- Pierre Soille
- ORCID
- Pierre Soille
- Venue
- Sensor Review
- Publisher
- Emerald
- Published
- 2000-09-01
- Volume
- 20
- Issue
- 3
- ISSN
- 0260-2288 (ISSN-L)
- OpenAlex
- W1561442812
- Cited by
- 3,537
- References
- 0
- Citations by year
- 2026: 2 · 2025: 27 · 2024: 51 · 2023: 71 · 2022: 98 · 2021: 138 · 2020: 144 · 2019: 179 · 2018: 189 · 2017: 207 · 2016: 224 · 2015: 239 · 2014: 205 · 2013: 222 · 2012: 196
- Type
- book review
- Language
- en
- Open access
- closed
- Locations
- Sensor Review (publishedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Image Processing Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Computer Science and Engineering
- Keywords
- morphological image analysis, morphological operators, image processing, image analysis, image segmentation
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