Hit-or-miss transform in multivariate images

Santiago Velasco-Forero (1) , Jesus Angulo (1)

1 CMM - Centre de Morphologie Mathématique

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

Domaines: Traitement des images [eess.IV]

Santiago Velasco-Forero, Jesus Angulo. Hit-or-miss transform in multivariate images. 12th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2010, Dec 2010, Sydney, Australia. pp.452-463, ⟨10.1007/978-3-642-17688-3_42⟩. ⟨hal-00834487⟩