Title :
Selection of key features for invariant object recognition using fuzzy entropy
Author :
Liu, Xiaofan ; Tan, Shaohua ; Srinivasan, V. ; Ong, S.H.
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
Abstract :
The paper proposes a novel method of feature selection that is supported by an adaptive segmentation technique using annular and sector windows. To achieve the feature dimension reduction, an adaptive method of selecting key features based on a fuzzy entropy is introduced. The method is applied to a map recognition task to demonstrate its efficacy
Keywords :
entropy; feature extraction; fuzzy set theory; image segmentation; adaptive method; adaptive segmentation technique; annular windows; feature dimension reduction; feature selection; fuzzy entropy; invariant object recognition; map recognition; sector windows; Application software; Computer vision; Entropy; Feature extraction; Fuzzy sets; Image converters; Image recognition; Image segmentation; Noise robustness; Object recognition;
Conference_Titel :
Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
Print_ISBN :
0-7803-1865-X
DOI :
10.1109/SIPNN.1994.344928
