Grey-level hit-or-miss transforms. I: Unified theory

DOI10.1016/j.patcog.2006.06.004zbMath1118.68179OpenAlexW2150281266MaRDI QIDQ854248

Nicolas Passat, Benoît Naegel, Christian Ronse

Publication date: 7 December 2006

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2006.06.004

zbMATH Keywords

mathematical morphologygrey-level interval operatorhit-or-miss transformmorphological probing

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10)

Related Items (12)

Grey-level hit-or-miss transforms. II: Application to angiographic image processing ⋮ Adaptive Hit or Miss Transform ⋮ Reflections on a scientific career and its possible legacy ⋮ A fuzzy morphological hit-or-miss transform for grey-level images: a new approach ⋮ Idempotent block splitting on partial partitions. I: Isotone operators ⋮ Idempotent block splitting on partial partitions. II: Non-isotone operators ⋮ Morphological operations with iterative rotation of structuring elements for segmentation of retinal vessel structures ⋮ A robust hit-or-miss transform for template matching applied to very noisy astronomical images ⋮ Flat morphological operators from non-increasing set operators. I: General theory ⋮ Some open questions on morphological operators and representations in the deep learning era. A personal vision ⋮ Fuzzy Hit-or-Miss Transform Using the Fuzzy Mathematical Morphology Based on T-norms ⋮ Variable precision fuzzy hit-or-miss transformation models to object identification in grey-scale images

Cites Work

• Why mathematical morphology needs complete lattices
• Grey-level hit-or-miss transforms. II: Application to angiographic image processing
• Virtual double-sided image probing: a unifying framework for non-linear grayscale pattern matching
• Minimal Representations for Translation-Invariant Set Mappings by Mathematical Morphology
• The algebraic basis of mathematical morphology I. Dilations and erosions
• On morphological operators based on rank filters
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