DocumentCode :
2806063
Title :
Features selection analysis for pattern classification
Author :
Piriyakul, R. ; Piamsa-nga, P.
Author_Institution :
Kasetsart Univ., Bangkok
fYear :
2007
fDate :
18-20 Oct. 2007
Firstpage :
37
Lastpage :
40
Abstract :
Based on the medical image detection after segmentation, the features from each domain such as spatial, texture, spectral domain have been extracted for detection. With no regard to other unknown features, these features are sometime redundant. This paper proposes a factor analysis for a reduction features procedure and constructs ways to fulfill good detection by using an optimal features set.
Keywords :
feature extraction; image segmentation; medical image processing; factor analysis; features selection analysis; image segmentation; medical image detection; pattern classification; reduction features procedure; Biomedical imaging; Cancer detection; Entropy; Feature extraction; Image analysis; Image segmentation; Pattern analysis; Pattern classification; Shape; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2007. APCC 2007. Asia-Pacific Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4244-1374-4
Electronic_ISBN :
978-1-4244-1374-4
Type :
conf
DOI :
10.1109/APCC.2007.4433497
Filename :
4433497
Link To Document :
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