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Computer Vision, Graphics, and Image Processing
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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Connectivity on Complete Lattices
Journal of Mathematical Imaging and Vision
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Fundamenta Informaticae - Special issue on mathematical morphology
Connections for sets and functions
Fundamenta Informaticae - Special issue on mathematical morphology
Inf-Semilattice Approach to Self-Dual Morphology
Journal of Mathematical Imaging and Vision
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Computer Vision and Image Understanding
Morphological Image Analysis: Principles and Applications
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Theoretical Computer Science
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ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
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Journal of Mathematical Imaging and Vision
Flat morphological operators on arbitrary power lattices
Proceedings of the 11th international conference on Theoretical foundations of computer vision
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IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Morphological operators on the unit circle
IEEE Transactions on Image Processing
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IEEE Transactions on Image Processing
Flat zones filtering, connected operators, and filters by reconstruction
IEEE Transactions on Image Processing
Geodesy and connectivity in lattices
Fundamenta Informaticae
Flat Morphology on Power Lattices
Journal of Mathematical Imaging and Vision
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Image and Vision Computing
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Image and Vision Computing
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Pattern Recognition
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Journal of Visual Communication and Image Representation
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ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
CTIC'12 Proceedings of the 4th international conference on Computational Topology in Image Context
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Journal of Mathematical Imaging and Vision
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We consider morphological operations on images whose pixel values are considered as labels without ordering between them, except for a least element 驴 (meaning no label) and a greatest element 驴(Meaning conflicting labels). Flat dilations and erosions can be defined as in usual grey-level morphology. Since the lattice of label images is not distributive, non-flat operators can be obtained by combination of flat ones. Given any connectivity on sets, there is a connection on label images for which the connected components of an image correspond precisely to its flat zones with their labels attached. Some specific applications of label morphology are given.In the sequel of this paper [20], we will examine geodesic dilations and reconstructions on label images, and show how this variant of mathematical morphology can be applied to the segmentation of moving objects in video sequences [2, 3].