SKIN SEGMENTATION AND SKULL SEGMENTATION FOR MEDICAL IMAGING
Abstract: In
this paper aims
we present tools
for medical imaging
applications to do
skin and skull segmentation in a short time. The
desired output for skin segmentation is a 3D visualization of the facial skin without
any cavities or holes inside the head, while skull segmentation aims to create
a 3D visualization of the skull bones. The
algorithm used for
skin segmentation is
thresholding the image,
extracting the largest connected component, and holefilling
to fill the unnecessary holes. As for the skull segmentation, the process is
done by removing the spines which is connected to the skull, and then
extracting the largest connected component. Afterwards, mesh generation is done
to produce the 3D objects from the processed images. This mesh generation
process is done using the marching cubes algorithm. The testing results show
that the skin and skull segmentation process will work well when there are no
other objects that are connected to the skin or the skull. Skin segmentation
process takes a significant amount of time, primarily caused by the holefilling
process.
Author: Eric Yogi Tjandra,
Liliana, Leow Wee Kheng
Journal Code: jptinformatikagg140001
