DocumentCode
1803238
Title
Robust feature extractors based on morphological residues of filtering by reconstruction
Author
Li, Wenyuan ; Hease-coat, Véronique ; Ronsin, Joseph
Author_Institution
Inst. Nat. des Sci. Appliques, Rennes, France
Volume
1
fYear
1996
fDate
14-18 Oct 1996
Firstpage
519
Abstract
We perform a set of texture feature detectors based on morphological residues of opening or closing by reconstruction. This set of feature detectors is proven much more robust to noise than those which based on traditional morphological residues. The robustness of the set of features to noise is investigated in detail qualitatively and quantitatively. It is found that this feature set bears high robustness both to different noise types and noise levels
Keywords
edge detection; feature extraction; filtering theory; image reconstruction; image texture; mathematical morphology; noise; closing by reconstruction; filtering; image reconstruction; morphological residues; noise levels; noise types; opening by reconstruction; robust feature extractors; texture feature detectors; Computer vision; Feature extraction; Filtering; Image reconstruction; Image segmentation; Morphological operations; Noise level; Noise robustness; Noise shaping; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 1996., 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-2912-0
Type
conf
DOI
10.1109/ICSIGP.1996.567316
Filename
567316
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