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Mean shift clustering tends to generate accurate segmentations of color images, but choosing the scale parameters remains a difficult problem which has a strong impact on its performance. We present an adaptive image segmentation framework that achieves a task-dependent top-down adaption of the scale parameters. The proposed method can be used under the context of a relevance feedback-based content-based...
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