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Summary: Voxel-Wise Gray Scale Invariants for
Simultaneous Segmentation and Classification
Olaf Ronneberger, Janis Fehr, and Hans Burkhardt
Albert-Ludwigs-Universit¨at Freiburg, Institut f¨ur Informatik,
Lehrstuhl f¨ur Mustererkennung und Bildverarbeitung,
Georges-K¨ohler-Allee Geb. 052, 79110 Freiburg, Deutschland
ronneber@informatik.uni-freiburg.de
http://lmb.informatik.uni-freiburg.de
Abstract. 3D volumetric microscopical techniques (e.g. confocal laser
scanning microscopy) have become a standard tool in biomedical ap-
plications to record three-dimensional objects with highly anisotropic
morphology. To analyze these data in high-throughput experiments, re-
liable, easy to use and generally applicable pattern recognition tools are
required. The major problem of nearly all existing applications is their
high specialization to exact one problem, and the their time-consuming
adaption to new problems, that has to be done by pattern recognition
experts. We therefore search for a tool that can be adapted to new prob-
lems just by an interactive training process. Our main idea is therefore to
combine object segmentation and recognition into one step by comput-
ing voxel-wise gray scale invariants (using nonlinear kernel functions and
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