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中国图象图形学报 2006
RB-K-means Based Adaptive Mean shift
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Abstract:
Mean shift is an effective iterative procedure that has been used in edge preserving filtering and image segmentation. It is critical to set bandwidth properly for Iteration. However, traditional fixed bandwidth mean shift is sensitive to input data, and current variable bandwidth estimation methods are not popularly accepted for their high time complexity or inconvenience. Here a new bandwidth estimate method has been proposed, namdy, K-means is employed to estimate bandwidth for each sub-region and its effectiveness is indicated by experiments.