This paper presents an approach for extending the normalized-cut (n-cut) segmentation algorithm to find symmetric regions present in natural images. We use an existing algorithm to quickly detect possible symmetries present in an image. The detected symmetries are then individually verified using the modified n-cut algorithm to eliminate spurious detections. The weights of the n-cut algorithm are modified so as to include both symmetric and spatial affinities. A global parameter is defined to model the tradeoff between spatial coherence and symmetry. Experimental results indicate that symmetric quality measure for a region segmented by our algorithm is a good indicator for the significance of the principal axis of symmetry.
Extracting regions of symmetry
IEEE International Conference on Image Processing 2005 ; 3 ; III-133
2005-01-01
263520 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Extracting Regions of Symmetry
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