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Figure 3
Step-by-step workflow for detecting sphere centers and simulate an ideal scan. (a) Raw input image showing densely packed spherical structures with inhomogeneous intensity. (b) Gaussian-filtered image for intensity homogenization and noise reduction. (c) Binary mask obtained through adaptive thresholding to segment spheres from the background. (d) Euclidean distance transform of the segmented regions, highlighting maximal distances from boundaries. (e) Final simulated spheres reconstructed supersampled with factor of eight from detected centers and radii. |

journal menu![[Figure 3]](gy5084fig3.jpg)
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