Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an approach for extending the normalized-cut (n-cut) segmentation algorithm to find symmetric regions present in natural images.  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 ights 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 beten 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.
['A.K. Gupta', 'V.S.N. Prasad', 'L.S. Davis']
I am writing a research paper on a idea Extracting regions of symmetry
[{"from": "human", "value": "I am writing a research paper on a idea Extracting regions of symmetry"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an approach for extending the normalized-cut (n-cut) segmentation algorithm to find symmetric regions present in natural images.  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 ights 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 beten 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."}]