Hit-or-miss transform in multivariate images

Abstract : 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.
Type de document :
Communication dans un congrès
Jacques Blanc-Talon, Don Bone, Wilfried Philips, Dan Popescu, and Paul Scheunders. 12th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2010, Dec 2010, Sydney, Australia. Springer, 6474, pp.452-463, 2010, Lecture Notes in Computer Science. <10.1007/978-3-642-17688-3_42>
Liste complète des métadonnées

https://hal-mines-paristech.archives-ouvertes.fr/hal-00834487
Contributeur : Doriane Ibarra <>
Soumis le : samedi 15 juin 2013 - 15:47:13
Dernière modification le : mercredi 13 septembre 2017 - 01:03:01

Identifiants

Collections

Citation

Santiago Velasco-Forero, Jesus Angulo. Hit-or-miss transform in multivariate images. Jacques Blanc-Talon, Don Bone, Wilfried Philips, Dan Popescu, and Paul Scheunders. 12th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2010, Dec 2010, Sydney, Australia. Springer, 6474, pp.452-463, 2010, Lecture Notes in Computer Science. <10.1007/978-3-642-17688-3_42>. <hal-00834487>

Partager

Métriques

Consultations de la notice

112