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Echo-cardiographic segmentation: Via feature-space clustering
2011
2011 National Conference on Communications (NCC)
Segmentation in echo-cardiographic images is a difficult task due to the presence of speckle noise, low contrast and blurring. We present a novel method based on clustering performed in the feature space. A noise robust image representation is obtained by computing a local feature descriptor at every pixel location. This descriptor is derived using the Radon-Transform to effectively characterise local image context. Next, an unsupervised clustering is performed in the feature space to segment
doi:10.1109/ncc.2011.5734776
fatcat:5mkvvh7ic5eyrk2rlb5p42s7ru