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
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;
Conference_Titel :
Signal Processing, 1996., 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2912-0
DOI :
10.1109/ICSIGP.1996.567316
