3D Curvelet-Based Segmentation and Quantification of Drusen in Optical Coherence Tomography Images

Figure 6

Drusenoid region segmentation results. (a) Original noisy image, (b) detected IS/OS junction boundary, (c) detected BM layer, (d) extracted BM and IS/OS boundaries, (e) 2nd-order polynomial fitted lines to extracted boundaries in order to calculate the mean difference of two boundaries, (f) created image by shifting the upper detected IS/OS junction pixels, (g) filled image, (h) reconstructed image by applying morphological erosion and then dilation operators, and (i) segmented drusenoid region.

(a)

(b)

(c)

(d)

(e)

(f)

(g)

(h)

(i)