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The frequent problems in computer vision consist of de-noising, artifact elimination as well as structure preserving or enhancing. PDE-based nonlinear diffusion filter may be one possibility to achieve those goals. In this paper, we perform comparison of three typical PDE-based regularization algorithms followed by the proposal of a general framework, which exploits fundamental significance for analyzing...
Traditional modeling method for power electronic system is limited in application and strictly depends on system topology structure. Therefore, utilizing the analogical relation of physical quantities between mechanical system and power electronic system, this paper presents a modeling method based on Hamilton principle of analytical mechanics for power electronic system. The method is not only more...
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...
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