A Multivariate Hit-or-Miss Transform for Conjoint Spatial and Spectral Template Matching

Authors:
Jonathan Weber;Sébastien Lefèvre
Affiliations:
LSIIT, CNRS, University Louis Pasteur - Strasbourg I, Illkirch Cedex, France 67412;LSIIT, CNRS, University Louis Pasteur - Strasbourg I, Illkirch Cedex, France 67412
Venue:
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
Year:
2008

Citing 4
Cited 1

Morphological Image Analysis: Principles and Applications

Morphological Image Analysis: Principles and Applications
Image Analysis and Mathematical Morphology

Image Analysis and Mathematical Morphology
Grey-level hit-or-miss transforms-Part I: Unified theory

Pattern Recognition
A comparative study on multivariate mathematical morphology

Pattern Recognition

Spatial and spectral morphological template matching

Image and Vision Computing

Quantified Score

Hi-index	0.01

Visualization

Abstract

The Hit-or-Miss transform is a well-known morphological operator for template matching in binary and grey-level images. However it cannot be used straightforward in multivalued images (such as colour or multispectral images) since Mathematical Morphology needs an ordering relation which is not trivial on multivalued spaces. Moreover, existing definitions of the Hit-Or-Miss Transform in grey-level use only spatial templates (or structuring elements) which could be insufficient for some feature extraction problems. In this paper, we propose a multivariate Hit-or-Miss Transform operator which combines spatial and spectral patterns to perform template matching. We illustrate its relevance with an application in the remote sensing field, the extraction of coastline from very high (spatial) resolution images.