Title :
One-pass parallel thinning: analysis, properties, and quantitative evaluation
Author :
Jang, Ben K. ; Chin, Roland T.
Author_Institution :
Eastman Kodak Res. Lab., Rochester, NY, USA
fDate :
11/1/1992 12:00:00 AM
Abstract :
A one-pass parallel thinning algorithm based on a number of criteria, including connectivity, unit-width convergence, medial axis approximation, noise immunity, and efficiency, is proposed. A pipeline processing model is assumed for the development. Precise analysis of the thinning process is presented to show its properties, and proofs of skeletal connectivity and convergence are provided. The proposed algorithm is further extended to the derived-grid to attain an isotropic medial axis representation. A set of measures based on the desired properties of thinning is used for quantitative evaluation of various algorithms. Image reconstruction from connected skeletons is also discussed. Evaluation shows that the procedures compare favorably to others
Keywords :
convergence of numerical methods; image recognition; parallel algorithms; pipeline processing; medial axis approximation; noise immunity; one-pass parallel thinning; pipeline processing model; shape analysis; skeletal connectivity; unit-width convergence; Algorithm design and analysis; Approximation algorithms; Concurrent computing; Convergence; Image reconstruction; Parallel algorithms; Pattern analysis; Pipeline processing; Shape; Skeleton;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
