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Fig. 6
Results of brain segmentation and classification
5 Conclusion
Segmentation is an essential analysis function for which numerous algorithms
have been developed in the field of image processing. Segmentation can also be
used as an initial step for visualization and can improve presentation content qual-
ity and interactivity. Typically, segmentation of a 3D object is achieved either by
identifying all voxels that belong to an object or by locating those that form its
boundary. The former is based primarily on the intensity of voxels, but other at-
tributes, such as texture, that can be associated with each voxel, can also be used
in segmentation.
Building more sophisticated models of regions, allows more direct and interest-
ing questions to be asked at the voxel level, as well as improving quality of visual
experience. Such segmentation and classification processes can obtain detecting
and visualizing regions of high interest (in this example: brain) and other regions
of small interest (in this example: skull and noisy background). This is very
