Article ID Journal Published Year Pages File Type
533992 Pattern Recognition Letters 2013 7 Pages PDF
Abstract

•A method for adaptive morphological filtering is presented.•The Local Structure Tensor is used to define elliptical structuring elements.•The structuring elements vary from lines to disks depending on local image structure.

Mathematical Morphology is a common strategy for non-linear filtering of image data. In its traditional form the filters used, known as structuring elements, have constant shape once set. Such rigid structuring elements are excellent for detecting patterns of a specific shape, but risk destroying valuable information in the data as they do not adapt in any way to its structure.We present a novel method for adaptive morphological filtering where the local structure tensor, a well-known method for estimation of structure within image data, is used to construct adaptive elliptical structuring elements which vary from pixel to pixel depending on the local image structure. More specifically, their shape varies from lines in regions of strong single-directional characteristics to disks at locations where the data has no prevalent direction.

Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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