Morphological template matching in color images
dc.authorscopusid | 57203070803 | |
dc.authorscopusid | 23396161700 | |
dc.authorscopusid | 26424758900 | |
dc.authorscopusid | 57213136547 | |
dc.contributor.author | Lefèvre,S. | |
dc.contributor.author | Aptoula,E. | |
dc.contributor.author | Perret,B. | |
dc.contributor.author | Weber,J. | |
dc.date.accessioned | 2024-05-25T12:32:05Z | |
dc.date.available | 2024-05-25T12:32:05Z | |
dc.date.issued | 2015 | |
dc.department | Okan University | en_US |
dc.department-temp | Lefèvre S., Université de Bretagne-Sud, IRISA, Vannes, France; Aptoula E., Okan University, Istanbul, Turkey; Perret B., Laboratoire d’Informatique Gaspard-Monge, Université Paris-Est, Equipe A3SI, ESIEE, Paris, France; Weber J., Université de Lorraine, LORIA-UMR, 7503, Nancy, France | en_US |
dc.description.abstract | emplate 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 theHMToperator to the context of templatematching 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. © Springer Science+Business Media Dordrecht 2014. | en_US |
dc.identifier.citationcount | 7 | |
dc.identifier.doi | 10.1007/978-94-007-7584-8_8 | |
dc.identifier.endpage | 277 | en_US |
dc.identifier.issn | 2212-9391 | |
dc.identifier.scopus | 2-s2.0-84927518942 | |
dc.identifier.scopusquality | Q3 | |
dc.identifier.startpage | 241 | en_US |
dc.identifier.uri | https://doi.org/10.1007/978-94-007-7584-8_8 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14517/2339 | |
dc.identifier.volume | 11 | en_US |
dc.language.iso | en | |
dc.publisher | Kluwer Academic Publishers | en_US |
dc.relation.ispartof | Lecture Notes in Computational Vision and Biomechanics | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.scopus.citedbyCount | 7 | |
dc.subject | Color image | en_US |
dc.subject | Hit-or-miss transform | en_US |
dc.subject | Mathematical morphology | en_US |
dc.subject | Template matching | en_US |
dc.title | Morphological template matching in color images | en_US |
dc.type | Article | en_US |