Robust morphological features for texture classification

Author

Li, Wei ; Hease-coat, Véronique ; Ronsin, Joseph

Author_Institution

Lab. ARTIST, Inst. Nat. des Sci. Appliques, Rennes, France

Volume

3

fYear

1996

fDate

16-19 Sep 1996

Firstpage

173

Abstract

In the present paper, a set of robust texture features based on morphological residues of opening or closing by reconstruction is introduced. This set of features is proven much more robust to noise than those based on traditional morphological residues. The robustness to noise of this set of features is investigated in detail. An algorithm is constructed to select the most discriminating feature subset. In texture classification experiments, it is found that this feature subset bears high robustness to various noises even when the noise levels are quite high

Keywords

feature extraction; filtering theory; image classification; image reconstruction; image texture; mathematical morphology; noise; closing residue; image reconstruction; image texture; morphological features; morphological filtering; morphological residues; most discriminating feature subset; opening residue; robust texture features; robustness to noise; texture classification; Feature extraction; Filtering; Gabor filters; Gaussian noise; Image reconstruction; Noise level; Noise robustness; Pixel; Telephony; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1996. Proceedings., International Conference on

Conference_Location

Lausanne

Print_ISBN

0-7803-3259-8

Type

conf

DOI

10.1109/ICIP.1996.560412

Filename

560412