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The fuzzy c-means (FCM) clustering algorithm has been widely used in image segmentation. However, FCM exhibits poor robustness to noise, often leading to unsatisfactory segmentations on noisy images. Additionally, the FCM algorithm is sensitive to the choice of initial cluster centers. In order to solve these problems, this paper proposes clone kernel spatial FCM (CKS_FCM), which improves segmentation...
In this paper, we proposed a super pixel based depth map propagation algorithm for the application in 2D to 3D video conversion. The proposed algorithm employs four main processes to generate depth maps for all frames in video sequences. First, the depth map of the key frames in the input sequences are generated by manual work. Second, the frames in the input sequences are over-segmented by Simple...
The work of how to measure the difference, or deviation, between two models is an important studied problem. Venkatesh Ganti has developed the FOCUS framework for computing an interpretable, qualifiable deviation measure between two datasets in terms of the models they induce. In this paper, we propose a novel method to measure the deviation for cluster models making use of CF-tree based on the FOCUS...
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