A STUDY OF DISCRETE PROPAGATION-BASED MODELS FOR PICTORIAL PATTERN ANALYSIS.
Abstract
This report describes algorithms for computing various functions on a digital picture which depend on the distance to a given subset of the picture. The algorithms involve local operations which are performed repeatedly, 'in parallel,' on every picture element and its immediate neighbors. Applications to the detection of 'clusters' and 'regularities' in a picture, and to the dissection of a region into 'pieces,' are also described. The medial axis transforms ('skeletons') resulting from the various distance-dependent functions are compared, with particular regard to noise sensitivity. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 30, 1967
- Accession Number
- AD0659158
Entities
People
- Azriel Rosenfeld
- Haig Kafafian
- John L. Pfaltz