Advances in the Analysis of Topographic Features on Discrete Images
DGCI '02 Proceedings of the 10th International Conference on Discrete Geometry for Computer Imagery
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
A Multivariate Hit-or-Miss Transform for Conjoint Spatial and Spectral Template Matching
ICISP '08 Proceedings of the 3rd international conference on Image and Signal Processing
A hit-or-miss transform for multivariate images
Pattern Recognition Letters
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Template matching is a very topical issue in a wide range of imaging applications. 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 grayscale images and even to multivariate images. Nevertheless, these extensions, despite being relevant from a theoretical point-of-view, might lack practical interest due to the inherent difficulty 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.