A Hierarchical, Multiscale Texture Segmentation Algorithm for Real-World Scenes
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چکیده
1. Texture segmentation can lead to multiscale outputs in which the partitions at successive scales are nested. 2. We can incorporate hierarchical segmentation into a K-Means clustering technique by steadily relaxing inter-cluster distances. 3. Thus, it is possible to hierarchically segment images based solely on texture measurements. 4. This hierarchical, multiscale segmentation is useful in identifying and tracking weather images.
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تاریخ انتشار 2001