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

fYear

1994

fDate

13-16 Apr 1994

Firstpage

217

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on

Print_ISBN

0-7803-1865-X

Type

conf

DOI

10.1109/SIPNN.1994.344928

Filename

344928

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2288759