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We propose a method for removing rows and columns in an image by clustering the sets of rows and columns separately. We also propose a method for adding rows and columns to an image on the basis of the proposed row/column removal method. Experimental results show that the proposed methods can reduce or enlarge the sizes of given images, while the aspect ratios of the main objects in the images are...
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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