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Orientation- and scale-invariant recognition of textures in multi-object scenes

 

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IEEE Signal Processing Society:
International Conference on Image Processing 1997. Proceedings. Vol.3
Piscataway, NJ: IEEE, 1997
ISBN: 0-8186-8183-7
S.174-177
International Conference on Image Processing (ICIP) <1997, Santa Barbara/Calif.>
Englisch
Konferenzbeitrag
Fraunhofer IMS ()
automatische Bildanalyse; Bildsegmentierung; maschinelles Sehen

Abstract
This contribution describes a novel approach to orientation and scale-invariant detection of textured objects in images. It performs both, a segmentation of multi-object scenes and the identification of rotation angles and scale rates of textures in an image by applying comparison with reference texture features stored in a database. The main novelty of the proposed method is the transform of rotation and dilation into shifts in the feature space by employing a polar-log Gabor filter bank. Texture segmentation and identification of the rotation angles and scale rates have been carried out using symmetric phase only matched filters. The simulation results illustrated in this paper highlight the performance of the presented method in an exemplary manner.

: http://publica.fraunhofer.de/dokumente/PX-27757.html