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In this paper, we propose a method of image segmentation, which is based on superpixel and optimized spatial feature. In this paper, the superpixels are taken into account, which can reduce computational burden, and the result of over-segmentation can also be benefit for segmentation results. The main idea of this paper is based on the conventional fuzzy c-means (FCM). The conventional FCM has a better...
Visual attention plays a vital role for humans to understand a scene by intuitively emphasizing some focused objects, and recent work in the computational model of visual attention has demonstrated that a purely bottom-up approach to identify salient regions within an image can be successfully applied to diverse and practical problems. Being aware of this, we propose a new approach of extracting objects...
Because of the complexity of data set with mixed attributes, the traditional clustering algorithms appropriate for this kind of dataset are few and the effect of clustering is not good. K-prototype clustering is one of the most commonly used methods in data mining for this kind of data. We borrow the ideas from the multiple classifiers combing technology, use k- prototype as the basis clustering algorithm...
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