Adaptive Selectivity Representation: Construction and Application in Enhancement

Author

Aallaoui, M. El ; Bouhtouri, A. El ; Ayadi, A.

Author_Institution

Lab. d´´Ingenierie Math. (LINMA), El-Jadida

fYear

2007

fDate

11-14 Dec. 2007

Firstpage

1368

Lastpage

1371

Abstract

This paper develops an adaptive representation for detecting different features in images, ranging from highly directional ones to fully isotropic ones. This new tool can indeed be tuned relatively to image features by decomposing them into a half continuous frame of directional wavelets with variable angular selectivity; and so can be seen as an adaptive selectivity representation, that extracts the geometric information of images, and is therefore well-suited for edge enhancement. Experimental results show that the proposed representation achieves better enhancement results than curvelet transform and nonsubsampled contourlet transform (NSCT) image enhancement methods.

Keywords

feature extraction; image enhancement; image representation; wavelet transforms; adaptive selectivity representation; directional wavelet; edge enhancement; feature detection; image geometric information; variable angular selectivity; Biomedical imaging; Computer vision; Continuous wavelet transforms; Data mining; Finite impulse response filter; Fourier transforms; Image enhancement; Low pass filters; Transfer functions; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 2007. ICECS 2007. 14th IEEE International Conference on

Conference_Location

Marrakech

Print_ISBN

978-1-4244-1377-5

Electronic_ISBN

978-1-4244-1378-2

Type

conf

DOI

10.1109/ICECS.2007.4511253

Filename

4511253