Binary Shape Analysis
Although binary images contain much less information than their gray-scale counterparts, they embody shape and size information that is highly relevant for object recognition. However, this information resides in a digital lattice of pixels, and this results in intricacies appearing in the geometry. This chapter resolves these problems and explores a number of important algorithms for processing shapes.
Look out for:
• the connectedness paradox and how it is resolved.
• object labeling and how labeling conflicts are resolved.
• problems related to measurement in binary images.
• size filtering techniques.
• the convex hull as a means of characterizing shape, and methods for determining it.
• distance functions and how ...