Morphological segmentation of binary patterns

Authors:
Pierre Soille;Peter Vogt
Affiliations:
Spatial Data Infrastructures Unit, Institute for Environment and Sustainability, Joint Research Centre, European Commission, via Fermi 2749, I-21027 Ispra, Italy;Land Management and Natural Hazards Unit, Institute for Environment and Sustainability, Joint Research Centre, European Commission, via Fermi 2749, I-21027 Ispra, Italy
Venue:
Pattern Recognition Letters
Year:
2009

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Abstract

This paper presents a method for segmenting binary patterns into seven mutually exclusive categories: core, islet, loop, bridge, perforation, edge, and branch. This is achieved by applying a series of morphological transformations such as erosions, geodesic dilations, reconstruction by dilation, anchored skeletonisation, etc. The proposed method depends on a single parameter only and can be used for characterising binary patterns with emphasis on connections between their parts as measured at varying analysis scales. This is illustrated on two examples related to land cover maps and circuit board defect detection.