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Morphological Template Matching in Color Images

Identifieur interne : 000D48 ( Main/Exploration ); précédent : 000D47; suivant : 000D49

Morphological Template Matching in Color Images

Auteurs : Sébastien Lefèvre [France] ; Erchan Aptoula [Turquie] ; Benjamin Perret [France] ; Jonathan Weber [France]

Source :

RBID : Hal:hal-01111954

English descriptors

Abstract

Template matching is a fundamental problem in image analysis and computer vision. It has been addressed very early by Mathematical Morphology, through the well-known Hit-or-Miss Transform. In this chapter, we review most of the existing works on this morphological template matching operator, from the standard case of binary images to the (not so standard) case of grayscale images and the very recent extensions to color and multivariate data. We also discuss the issues raised by the application of the HMT operator to the context of template matching and provide guidelines to the interested reader. Various use cases in different application domains have been provided to illustrate the potential impact of this operator.

Url:
DOI: 10.1007/978-94-007-7584-8_8


Affiliations:


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<div type="abstract" xml:lang="en">Template matching is a fundamental problem in image analysis and computer vision. It has been addressed very early by Mathematical Morphology, through the well-known Hit-or-Miss Transform. In this chapter, we review most of the existing works on this morphological template matching operator, from the standard case of binary images to the (not so standard) case of grayscale images and the very recent extensions to color and multivariate data. We also discuss the issues raised by the application of the HMT operator to the context of template matching and provide guidelines to the interested reader. Various use cases in different application domains have been provided to illustrate the potential impact of this operator.</div>
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