Hit-or-miss transform in multivariate images
Résumé
The Hit-or-Miss transform (HMT) is a well-known morphological operator for template matching in binary images. A novel approach for HMT for multivariate images is introduced in this paper. The generic framework is a generalization of binary case based on a h-supervised ordering formulation which leads to reduced orderings. In particular, in this paper we focus on the application of HMT for target detection on high-resolution images. The visual results of the experiments show the performance of proposed approach.
Mots clés
- Template matching
- Mathematical transformations
- Target tracking
- Remote sensing
- Morphology
- Mathematical operators
- Mathematical morphology
- Image matching
- Computer vision
- Target detection
- Morphological operator
- Hyperspectral imagery
- Hit-or-Miss Transform
- High resolution image
- Generic frameworks
- Colour image
- Case based
