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Article Dans Une Revue Image and Vision Computing Année : 2012

Spatial and Spectral Morphological Template Matching

Résumé

Template matching is a very topical issue in a wide range of imaging applica- tions. Mathematical morphology offers the hit-or-miss transform, an operator which has been successfully applied for template matching in binary images. More recently, it has been extended to greyscale images and even to multi- variate images. Nevertheless, these extensions, despite being relevant from a theoretical point-of-view, might lack practical interest due to the inherent diffi- culty to set up correctly the transform and its parameters (e.g. the structuring functions). In this paper, we propose a new and more intuitive operator which allows for morphological template matching in multivariate images from both a spatial and spectral point of view. We illustrate the potential of this operator in the context of remote sensing.

Dates et versions

hal-00761281 , version 1 (05-12-2012)

Identifiants

Citer

Jonathan Weber, Sébastien Lefèvre. Spatial and Spectral Morphological Template Matching. Image and Vision Computing, 2012, 30 (12), pp.934-945. ⟨10.1016/j.imavis.2012.07.002⟩. ⟨hal-00761281⟩
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