Introduction - If you have any usage issues, please Google them yourself
Watershed segmentation classifies pixels into regions using gradient descent on image features
and analysis of weak points along region boundaries. Imagine water raining onto a landscape
topology and flowing with gravity to collect in low basins. The size of those basins will grow
with increasing amounts of precipitation until they spill into one another, causing small basins
to merge together into larger basins. Regions (catchment basins) are formed by using local
geometric structure to associate points in the image domainwith local extrema in some fea-ture measurement such as curvature or gradient magnitude. This technique is less sensitive
to user-defined thresholds than classic region-growing methods, and may be better suited for
fusing different types of features from different data sets. The watersheds technique is also
more flexible in that it does not produce a single image segmentation, but rather a hierarchy of
segmentations from which a single region or set of regio