Fig. 3.

Filtering and kernel size effects on the computational orientation maps: (a) without filter; and (b) with nonlinear diffusion filter applied on SOCS images. The sizes of the smoothing kernels are $K_{\mathrm{10,2}}$ (left) and $K_{\mathrm{20,4}}$ (right), respectively, where the first subscript is the number of neighboring pixels included in smoothing and the second subscript is the standard deviation of the Gaussian kernel. The color-coding is in Fig. 2. The white boxes indicate the region of interest (ROI), whose fiber orientation distributions are plotted with histogram (white bars) on individual images (range: $\pm 90\mathrm{Deg}$, binning: 2 deg).