Morphological Reversible Contour Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Mathematical Imaging and Vision
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DGCI '02 Proceedings of the 10th International Conference on Discrete Geometry for Computer Imagery
Efficient morphological reconstruction: a downhill filter
Pattern Recognition Letters
Hierarchical representation of 2-D shapes using convex polygons: a contour-based approach
Pattern Recognition Letters
Level Lines Selection with Variational Models for Segmentation and Encoding
Journal of Mathematical Imaging and Vision
Iterative area filtering of multichannel images
Image and Vision Computing
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Computers and Graphics
Expert Systems with Applications: An International Journal
A GPU Laplacian solver for diffusion curves and Poisson image editing
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ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Computationally efficient, one-pass algorithm for morphological filters
Journal of Visual Communication and Image Representation
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
Mathematical Morphology on Complete Semilattices and its Applications to Image Processing
Fundamenta Informaticae
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This paper deals with the use of some morphological tools for image and video coding. Mathematical morphology can be considered as a shape-oriented approach to signal processing, and some of its features make it very useful for compression. Rather than describing a coding algorithm, the purpose of this paper is to describe some morphological tools that have proved attractive for compression. Four sets of morphological transformations are presented: connected operators, the region-growing version of the watershed, the geodesic skeleton, and a morphological interpolation technique. The authors discuss their implementation, and show how they can be used for image and video segmentation, contour coding, and texture coding