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Ultrasound image segmentation is challenging due to the interference from speckle noise and fuzziness of boundaries. In this paper, we propose a segmentation scheme using fuzzy c-means (FCM) clustering incorporating spatial information based on image decomposition. First, an ultrasound image is decomposed into a sum of two functions, u+v, where u denotes the image intensity while v refers to the texture...
Peer-to-peer networks have evolved rapidly due to the flexibility and reliability in sharing data objects among participating users. However, without a centralized service provider, locating data objects is not a trivial task for P2P applications. In this paper, we propose a semi-structured protocol that explores the benefits both of unstructured small world models and consistent hashing techniques...
Ultrasound image segmentation is challenging due to the interference from speckle noise and fuzziness of boundaries. In this paper, we propose a segmentation scheme using fuzzy c-means (FCM) clustering incorporating spatial information based on intensity and texture of images. Firstly, the nonlinear structure tensor, which helps to refine the edges detected by intensity, is used to extract speckle...
With the aggravation of port economic competition, port enterprise managers pay special attention on port customer relationship management (CRM). Customer segmentation as a basis of CRM has important research meanings. In this paper, according to the characteristics of port customer data, a tree structure of data organization was obtained, reorganized the port data in 219 customer trees, introduced...
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