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.
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Contributeur : Bibliothèque Mines Paristech <>
Soumis le : samedi 15 juin 2013 - 15:47:13
Dernière modification le : lundi 12 novembre 2018 - 10:55:48

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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⟩



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