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Phase based 3D Texture Features Janis Fehr1
 

Summary: Phase based 3D Texture Features
Janis Fehr1
and Hans Burkhardt1
Albert-Ludwigs-Universit¨at Freiburg, Institut f¨ur Informatik, Lehrstuhl f¨ur
Mustererkennung und Bildverarbeitung, Georges-Koehler-Allee Geb. 052,
79110 Freiburg, Deutschland
fehr@informatik.uni-freiburg.de,
http://lmb.informatik.uni-freiburg.de/
Abstract. In this paper, we present a novel method for the voxel-wise
extraction of rotation and gray-scale invariant features. These features
are used for simultaneous segmentation and classification of anisotropic
textured objects in 3D volume data. The proposed new class of phase
based voxel-wise features achieves two major properties which can not
be achieved by the previously known Haar-Integral based gray-scale fea-
tures [1]: invariance towards non-linear gray-scale changes and a easy to
handle data driven feature selection. In addition, the phase based fea-
tures are specialized to encode 3D textures, while texture and shape
information interfere in the Haar-Integral approach. Analog to the Haar-
Integral features, the phase based approach uses convolution methods in
the spherical harmonic domain in order to achieve a fast feature extrac-

  

Source: Albert-Ludwigs-Universität Freiburg, Institut für Informatik,, Lehrstuhls für Mustererkennung und Bildverarbeitung

 

Collections: Computer Technologies and Information Sciences