Use of decision trees in colour feature selection. Application to object recognition in outdoor scenes

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...

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Bibliographic Details
Published in2000 International Conference on Image Processing Vol. 3; pp. 496 - 499 vol.3
Main Authors Freixenet, J., Llado, X., Marti, J., Cufi, X.
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 2000
Subjects
Algorismes computacionals
Application software
Computer algorithms
Computer vision
Concrete
Decision trees
Discriminació visual
Geometry
Image processing
Imatges
Informatics
Layout
Object recognition
Optical pattern recognition
Processament
Reconeixement òptic de formes
Robot vision systems
Robotics and automation
Visió per ordinador
Visual discrimination
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Summary: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.
ISBN:0780362977
9780780362970
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2000.899460