Abstract:
Active contour has been proven to be effective at solving semantic segmentation of
images. However, the use cases of such approaches were mostly on trivial problems
with narrow utility. For instance, it was used for detecting tumors from MRI scans and
finding oil spills from aerial photographs. This thesis considers ways of making active
contour work for any kinds of images. Active contour is applied at post-processing
step on results from other algorithms.