DocumentCode
3488095
Title
SUSAN 3D operator, principal saliency degrees and directions extraction and a brief study on the robustness to noise
Author
Walter, Nicolas ; Aubreton, Olivier ; Fougerolle, Yohan D. ; Laligant, Olivier
Author_Institution
Lab. Le2i, Le Creusot, France
fYear
2009
fDate
7-10 Nov. 2009
Firstpage
3529
Lastpage
3532
Abstract
In order to complete the work on the 3D SUSAN operator, an extraction of principal saliency degrees and direction is proposed. This will lead the proposed operator to a complete classification of vertices in five different classes: cavity points, valley points, flat points, prong points and salient points. To assess the operator, we propose two different studies. The robustness to the resolution and the regularity of meshes is presented for three different operators. To complete the evaluation, the robustness to noise is analysed, for the Stokely and the SUSAN operator. Our conclusion presents the benefits, drawbacks of the technique and future works.
Keywords
feature extraction; image classification; mesh generation; noise; SUSAN 3D operator; Stokely operator; cavity points; directions extraction; flat points; mesh regularity; noise; principal saliency degree extraction; prong points; salient points; smallest univalue segment assimilating nucleus; valley points; vertices classification; Computer industry; Image segmentation; Noise measurement; Noise reduction; Noise robustness; Pixel; Production; Storage area networks; SUSAN; curvature; point characterization; robustness to noise; saliency; salient point detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location
Cairo
ISSN
1522-4880
Print_ISBN
978-1-4244-5653-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2009.5414078
Filename
5414078
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