Title :
Hierarchical Shape Description Via the Multiresolution Symmetric Axis Transform
Author :
Pizer, Stephen M. ; Oliver, William R. ; Bloomberg, Sandra H.
Author_Institution :
Department of Computer Science and the Department of Radiology, University of North Carolina, Chapel Hill, NC 27514.
fDate :
7/1/1987 12:00:00 AM
Abstract :
A method is proposed that produces a shape description in the form of a hierarchy by scale of simple symmetric axis sequences. An axis segment that is a child of another has smaller scale and is seen as a branch of its parent. The scale value and parent-child relationship are induced by following the symmetric axis under successive reduction of resolution. The result, in two or three dimensions, is a figure¿rather than boundary¿oriented shape description that has natural segments and is insensitive to noise in the object description. The general approach of hierarchy production by following a feature through successive resolution reduction will be presented, as will methods of resolution reduction and computer implementation. Also, the relation of this figure-based shape description to those based on boundary curvature will be briefly discussed.
Keywords :
Biological system modeling; Computer science; Face; Humans; Noise figure; Noise level; Noise shaping; Production; Sequences; Shape measurement; Medial axis; multiresolution; shape description; symmetric axis;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.1987.4767938