Title :
Symbolic construction of a 2-D scale-space image
Author_Institution :
Xerox Palo Alto Res. Center, CA, USA
fDate :
8/1/1990 12:00:00 AM
Abstract :
A symbolic approach to constructing a multiscale primitive shape description to 2-D binary (silhouette) shape images is presented. In contrast to contour or region smoothing techniques, grouping operations are performed over collections of tokens residing on a scale-space blackboard. Two types of grouping operations are identified that, respectively, aggregate edge primitives at one scale into edge primitives at a coarser scale and group edge primitives into partial-region assertions, including curved contours, primitive corners, and bars. Procedures to perform these computations are presented
Keywords :
pattern recognition; picture processing; 2-D scale-space image; bars; curved contours; edge primitives; grouping operations; multiscale primitive shape description; partial-region assertions; pattern recognition; picture processing; primitive corners; Discrete transforms; Filtering; Graphics; Image edge detection; Kernel; Matched filters; Maximum likelihood detection; Nonlinear filters; Shape; Signal resolution;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on