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
Case based
Colour image
Generic frameworks
High resolution image
Hit-or-Miss Transform
Hyperspectral imagery
Morphological operator
Target detection
Computer vision
Image matching
Mathematical morphology
Mathematical operators
Morphology
Remote sensing
Target tracking
Template matching
Mathematical transformations