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Boundary detection using mathematical morphology
Authors:Jun Yang  Xiaobo Li  
Affiliation:

Computing Science Department, University of Alberta, Edmonton, Alberta, Canada T6G 2H1

Abstract:Object boundaries contain important shape information in an image. Mathematical morphology is shape sensitive and can be used in boundary detection. In this paper, we propose dynamic mathematical morphology which only operates on the parts of interest in an image and reacts to certain characteristics of the region. The next position of the structuring element is dynamically selected at each step of the operation. The technique is used to detect object boundaries and has produced encouraging results.
Keywords:Shape information   Boundary detection   Dynamic mathematical morphology   Roll dilation
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