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 ...

Get Machine Vision, 3rd Edition now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.