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With the development of the Broadcasting and Video network, the Monitoring System on Digital Video Broadcasting is becoming more and more important. Image recognition technology is widely applied to detect the degraded video in the television observation system. Mosaic block easily occurs in the TV signals, which will degrade the video quality. The conventional mosaic detection algorithm can't distinguish...
Image segmentation is one of the key steps in image analysis, where the fuzzy theory based methods are widely used, but, none had universally property to segment all types color images. So, to improve segmentation quality and universally property of segmentation algorithm, a new fuzzy color image segmentation algorithm was brought out based on feature divergence and fuzzy dissimilarity. The algorithm...
The goal of segmentation is to partition an image into disjoint regions, in a manner consistent with human perception of the content. For large-scale, general image dataset, however, there are the competing requirements, including not making complex prior assumptions about the scene, having fast speed and good segmentation quality. In this paper, a two-stage method for image segmentation is presented...
The purpose of this study was to improve the segmentation performance of the level set method for magnetic resonance images (MRI), such as fuzzy boundary or low contrast. In this paper, a level set method was presented in which fuzzy c-means (FCM) was used to prevent boundary leaking during the curve propagated. Firstly, FCM algorithm was used to compute the fuzzy membership values for each pixel,...
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