Adaptive mathematical morphology for edge linking

Authors:
Frank Y. Shih;Shouxian Cheng
Affiliations:
Computer Vision Laboratory, College of Computing, Sciences, New Jersey Institute of Technology, Newark, NJ;Computer Vision Laboratory, College of Computing, Sciences, New Jersey Institute of Technology, Newark, NJ
Venue:
Information Sciences—Informatics and Computer Science: An International Journal
Year:
2004

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Abstract

In this paper, adaptive mathematical morphology and its application to edge linking are presented to fill in the gaps between edge segments. Broken edges are extended along their slope directions by using the adaptive dilation operation with the suitable sized elliptical structuring elements. The size and orientation of the structuring element are adjusted according to the local properties, such as slope and curvature. Postprocesses of thinning and pruning are also applied. The edge-linking operation is performed in an iterative manner, so that the broken edges can be linked up gradually and smoothly while the details of the object shape are preserved.