Use of decision trees in colour feature selection: application to object recognition in outdoor scenes
dc.contributor.author
dc.date.accessioned
2010-05-17T07:24:56Z
dc.date.available
2010-05-03T15:08:22Z
2010-05-17T07:24:56Z
dc.date.issued
2000
dc.identifier.citation
Freixenet, J., Lladó, X., Martí, J., i Cufí, X. (2000). Use of decision trees in colour feature selection : application to object recognition in outdoor scenes. International Conference on Image Processing : 2000 : proceedings, 3, 496-499. Recuperat 17 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=899460
dc.identifier.isbn
0-7803-6297-7
dc.identifier.uri
dc.description.abstract
A new method for the automated selection of colour features is described. The algorithm consists of two stages of processing. In the first, a complete set of colour features is calculated for every object of interest in an image. In the second stage, each object is mapped into several n-dimensional feature spaces in order to select the feature set with the smallest variables able to discriminate the remaining objects. The evaluation of the discrimination power for each concrete subset of features is performed by means of decision trees composed of linear discrimination functions. This method can provide valuable help in outdoor scene analysis where no colour space has been demonstrated as being the most suitable. Experiment results recognizing objects in outdoor scenes are reported
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
IEEE
dc.relation.isformatof
Reproducció digital del document publicat a: http://dx.doi.org/10.1109/ICIP.2000.899460
dc.relation.ispartof
© Image Processing, 2000, vol. 3, p. 496-499
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Articles publicats (D-ATC)
dc.rights
Tots els drets reservats
dc.subject
dc.title
Use of decision trees in colour feature selection: application to object recognition in outdoor scenes
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.identifier.doi