Morphological distinguished regions

Authors:
Allan Hanbury
Affiliations:
Pattern Recognition and Image Processing Group, Institute of Computer Aided Automation, Vienna University of Technology, Vienna, Austria
Venue:
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Year:
2007

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Abstract

Distinguished regions can be detected with high repeatability in different images of the same scene. Two definitions of distinguished regions of an image in a mathematical morphology framework are proposed: one based on the use of reconstruction operators on a series of cross sections of a greyscale image, and the second based on extracting regions present in a large number of levels of a watershed segmentation hierarchy. The proposed distinguished regions are evaluated by measuring their repeatability in transformed images of the same scene.