Image Processing Reference
In-Depth Information
case, after all possible candidates have been detected at a suitable time point,
they may be tested and merged at the same time.
Region growing is the grouping of voxels or is regarded as a kind of clus-
tering of voxels based upon their features. Geometrical features, in particular,
with properties relating to connectivity are taken into account during the ex-
ecution of the algorithm. The region growing used was effective to extract the
whole of a region connected to the starting regions. In order to extract more
than one separate object the entire procedure must be repeated many times.
Region growing is frequently used in the processing of 3D CT images in
medicine, to segmentate organs in the human body such as the bronchus and
chest vessels, the stomach, liver, colon etc [Kitasaka02a, Yokoyama03]. Re-
gion growing is suitable to extract the entire objects spreading in a relatively
large area in an input 3D image. However, detection of a smooth surface and
deciding on exact locations of borders are dicult to accomplish by region
growing only [Duda01].
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