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.
Partially supported by the EU Network of Excellence MUSCLE (FP6-507752) and the Austrian Science Foundation (FWF) under grant SESAME (P17189-N04).
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Hanbury, A. (2007). Morphological Distinguished Regions. In: Rueda, L., Mery, D., Kittler, J. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2007. Lecture Notes in Computer Science, vol 4756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76725-1_22
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DOI: https://doi.org/10.1007/978-3-540-76725-1_22
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