Spatially adaptive morphological image filtering using intrinsic structuring - Mines Saint-Étienne Access content directly
Journal Articles Image Analysis & Stereology Year : 2005

Spatially adaptive morphological image filtering using intrinsic structuring

Abstract

This paper deals with spatially adaptive morphological filtering, extending the theory of mathematical morphology to the paradigm of adaptive neighborhood. The basic idea in this approach is to substitute the extrinsically-defined, fixed-shape, fixed-size structuring elements generally used by morphological operators, by intrinsically-defined, variable-shape, variable-size structuring elements. These last so-called intrinsic structuring elements fit to the local features of the image, with respect to a selected analyzing criterion such as luminance, contrast, thickness, curvature or orientation. The resulting spatially-variant morphological operators perform efficient image processing, without any a priori knowledge of the studied image and some of which satisfy multiscale properties. Moreover, in a lot of practical cases, the elementary adaptive morphological operators are connected, which is topologically relevant. The proposed approach is practically illustrated in several application examples, such as morphological multiscale decomposition, morphological hierarchical segmentation and boundary detection.
No file

Dates and versions

emse-00446130 , version 1 (12-01-2010)

Identifiers

  • HAL Id : emse-00446130 , version 1

Cite

Johan Debayle, Jean-Charles Pinoli. Spatially adaptive morphological image filtering using intrinsic structuring. Image Analysis & Stereology, 2005, 24 (3), pp.145-158. ⟨emse-00446130⟩
119 View
0 Download

Share

Gmail Facebook X LinkedIn More