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A novel color clustering algorithm based on tensor voting is proposed. Each color feature vector is encoded by a second order tensor. Tensor voting is then applied to estimate the number of dominant colors and perform color clustering by exploiting the shape and data density of the color clusters. The experimental results show that the proposed method generates good results in image segmentation,...
The recently developed video compression standard, H.264/AVC surpasses the performance of previous video standards, such as MPEG-2, MPEG-4(part2), and H.263 and is therefore expected to be selected as the video standard for most digital video applications. The widely distributed infrastructure, however, continues to use the previous standards. Heterogeneous video transcoding offers a significant key...
Image segmentation is fundamental to many image analysis problems. It aims to partition a digital image into a set of non-overlapping homogeneous regions. This paper describes a new method for restoration and segmentation in corrupted text images on the basis of color feature analysis by tensor voting in 3D. It is show how feature analysis can benefit from analyzing features using second order tensor...
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