Extracting regions of symmetry

TitleExtracting regions of symmetry
Publication TypeConference Papers
Year of Publication2005
AuthorsGupta A, Prasad VSN, Davis LS
Conference NameImage Processing, 2005. ICIP 2005. IEEE International Conference on
Date Published2005/09//
Keywordsalgorithm;, coherence;, DETECTION, detection;, elimination;, extraction;, feature, image, images;, natural, normalized-cut, object, region, segmentation, segmentation;, spatial, spurious, symmetry

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.