Biomedical Engineering Reference
In-Depth Information
(a)
(b)
(d)
(c)
Figure 9.15:
Comparison of segmentation results on a synthetic image cor-
rupted by a sinusoidal bias field. (a) The original image, (b) FCM results, (c)
BCFCM and EM results, and (d) bias field estimations using BCFCM and EM
algorithms: this was obtained by scaling the bias field values from 1 to 255.
using either BCFCM or EM is presented in Fig. 9.15(d). This image was obtained
by scaling the values of the bias field from 1 to 255. Although the BCFCM and
EM algorithms produced similar results, BCFCM was faster to converge to the
correct classification, as shown in Fig. 9.16.
Figures 9.17 and 9.18 present a comparison of segmentation results between
FCM, EM, and BCFCM, when applied on T1 weighted MR phantom corrupted
with intensity inhomogeneity and noise. From these images, we can see that
