Detecting symmetry and symmetric constellations of features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Finding axes of symmetry from potential fields
IEEE Transactions on Image Processing
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This paper presents a new brain injury detection approach in images acquired by magnetic resonance imaging (MRI). The proposed approach is based on the fact that the anatomical structure of a 2D brain is highly symmetric, while most of the injury in the brain generally indicates asymmetry. The approach starts from symmetry integrated region growing segmentation of the brain images using the symmetry affinity matrix, and candidate asymmetric regions are initially extracted using kurtosis and skewness of symmetry affinity matrix. An Expectation Maximum classifier with Gaussian mixture model is used explicitly to classify asymmetric regions into injury and noninjury. Experimental results are carried out to demonstrate the efficacy of the approach for injury detection.