Title :
Use of decision trees in colour feature selection. Application to object recognition in outdoor scenes
Author :
Freixenet, J. ; Lladó, X. ; Martí, J. ; Cufí, X.
Author_Institution :
Inst. of Inf. & Applications, Girona Univ., Catalonia, Spain
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
Keywords :
decision trees; feature extraction; image colour analysis; object recognition; algorithm; automated colour feature selection; decision trees; discrimination power evaluation; feature spaces; linear discrimination functions; object recognition; outdoor scene analysis; Application software; Computer vision; Concrete; Decision trees; Geometry; Informatics; Layout; Object recognition; Robot vision systems; Robotics and automation;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899460