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Conference papers
Spatially-Variant Anisotropic Morphological Filters Driven By Gradient Fields
Abstract : This paper deals with the theory and applications of spatially-variant mathematical morphology. We formalize the definition of spatially variant dilation/erosion and opening/closing for gray-level images using exclusively the structuring function, without resorting to complement. This sound theoretical framework allows to build morphological operators whose structuring elements can locally adapt their orientation across the dominant direction of image structures. The orientation at each pixel is extracted by means of a diffusion process of the average square gradient field, which regularizes and extends the orientation information from the edges of the objects to the homogeneous areas of the image. The proposed filters are used for enhancement of anisotropic images features such as coherent, flow-like structures.
Keywords :
Mathematical morphology
Anisotropic image
Diffusion process
Dilation/erosion
Gradient fields
Gray level image
Image Structures
Morphological filters
Morphological operator
Orientation information
Structuring element
Theoretical framework
Anisotropy
Image analysis
Imaging systems
Mathematical operators
https://hal-mines-paristech.archives-ouvertes.fr/hal-00834389
Contributor : Bibliothèque MINES ParisTech Connect in order to contact the contributor
Submitted on : Friday, June 14, 2013 - 6:10:36 PM
Last modification on : Wednesday, November 17, 2021 - 12:27:09 PM
Contributor : Bibliothèque MINES ParisTech Connect in order to contact the contributor
Submitted on : Friday, June 14, 2013 - 6:10:36 PM
Last modification on : Wednesday, November 17, 2021 - 12:27:09 PM
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