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A new parallel binary image shrinking algorithm

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2 Author(s)
Hongchi Shi ; Center for Comput. Vision Res., Florida Univ., Gainesville, FL ; Ritter, G.X.

A new parallel binary image shrinking algorithm that can be considered as an improvement of Levialdi's (1972) parallel shrinking algorithm and can be used in many image labeling algorithms as a basic operation in order to reduce the storage requirements for local memory and speed up the labeling process is presented. This new parallel shrinking algorithm shrinks an n×n binary image to an image with no black pixels in O(n) parallel steps with a multiplicative constant of 1.5, preserving the 8-connectivity in the shrinking process

Published in:

Image Processing, IEEE Transactions on  (Volume:4 ,  Issue: 2 )

Date of Publication:

Feb 1995

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