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Multi-Environment Model Estimation for Motility Analysis of Caenorhabditis elegans

Figure 5

Computing the nematode skeleton.

Representation of the Chamfer distance transform field () applied to the segmented nematode of Fig. 4. The value associated at each pixel of the image is the Euclidean distance (in pix) to the closest point of the nematode boundary; the distance on the boundary is zero and higher distances lie towards the nematode medial axis. (Inset) Resulting skeleton is achieved by balancing geometric features (i.e. Chamfer distance) and global shape (i.e. nematode curvature).

Figure 5

doi: https://doi.org/10.1371/journal.pone.0011631.g005