The objective of this Brief is to provide a solution to the unsolved technical problem in
segmentation for the automated bone age assessment system. The task is accomplished by first
applying the modified histogram equalized module then applying the proposed automated
anisotropic diffusion technique. It is followed by a novel fuzzy quadruple division scheme to
optimize the central segmentation algorithm and then an additional quality assurance scheme.
The designed segmentation framework works without demanding scarce resources such as training
sets and skillful operators. The results have shown that the designed framework is capable of
separating the soft-tissue and background from the hand bone with high accuracy. This Brief
should be especially useful for students and professional researchers in the Biomedical and
image processing fields.
