Signal to noise ratio in ultrasound medical images captured through the digital camera is poorer,resulting in an inaccurate diagnosis.As a result,it needs an efficient despeckling method for ultrasound images in clinic...Signal to noise ratio in ultrasound medical images captured through the digital camera is poorer,resulting in an inaccurate diagnosis.As a result,it needs an efficient despeckling method for ultrasound images in clinical practice and tel-emedicine.This article proposes a novel adaptive fuzzyfilter based on the direc-tionality and translation invariant property of the Non-Sub sampled Contour-let Transform(NSCT).Since speckle-noise causes fuzziness in ultrasound images,fuzzy logic may be a straightforward technique to derive the output from the noisy images.Thisfiltering method comprises detection andfiltering stages.First,image regions classify at the detection stage by applying fuzzy inference to the directional difference obtained from the NSCT noisy image.Then,the system adaptively selects the better-suitedfilter for the specific image region,resulting in significant speckle noise suppression and retention of detailed features.The suggested approach uses a weighted averagefilter to distinguish between noise and edges at thefiltering stage.In addition,we apply a structural similarity mea-sure as a tuning parameter depending on the kind of noise in the ultrasound pic-tures.The proposed methodology shows that the proposed fuzzy adaptivefilter effectively suppresses speckle noise while preserving edges and image detailed structures compared to existing approaches.展开更多
为降低智慧教室服务请求响应延迟,提出基于智能桌面虚拟化平台(Operating System Virtualization,OSV)技术的智慧教室管理系统。在系统硬件方面,对触控整合器和QXL设备进行选型与设计;在系统软件方面,应用OSV技术虚拟化设计系统人际交...为降低智慧教室服务请求响应延迟,提出基于智能桌面虚拟化平台(Operating System Virtualization,OSV)技术的智慧教室管理系统。在系统硬件方面,对触控整合器和QXL设备进行选型与设计;在系统软件方面,应用OSV技术虚拟化设计系统人际交互显示界面,利用模糊逻辑技术设计智慧教室管理程序,实现智慧教室的管理。实验证明,设计的系统对于智慧教室管理服务请求的响应平均延迟时间为0.05 s,短于传统系统,能够对智慧教室管理服务做到实时响应。展开更多
文摘Signal to noise ratio in ultrasound medical images captured through the digital camera is poorer,resulting in an inaccurate diagnosis.As a result,it needs an efficient despeckling method for ultrasound images in clinical practice and tel-emedicine.This article proposes a novel adaptive fuzzyfilter based on the direc-tionality and translation invariant property of the Non-Sub sampled Contour-let Transform(NSCT).Since speckle-noise causes fuzziness in ultrasound images,fuzzy logic may be a straightforward technique to derive the output from the noisy images.Thisfiltering method comprises detection andfiltering stages.First,image regions classify at the detection stage by applying fuzzy inference to the directional difference obtained from the NSCT noisy image.Then,the system adaptively selects the better-suitedfilter for the specific image region,resulting in significant speckle noise suppression and retention of detailed features.The suggested approach uses a weighted averagefilter to distinguish between noise and edges at thefiltering stage.In addition,we apply a structural similarity mea-sure as a tuning parameter depending on the kind of noise in the ultrasound pic-tures.The proposed methodology shows that the proposed fuzzy adaptivefilter effectively suppresses speckle noise while preserving edges and image detailed structures compared to existing approaches.
文摘为降低智慧教室服务请求响应延迟,提出基于智能桌面虚拟化平台(Operating System Virtualization,OSV)技术的智慧教室管理系统。在系统硬件方面,对触控整合器和QXL设备进行选型与设计;在系统软件方面,应用OSV技术虚拟化设计系统人际交互显示界面,利用模糊逻辑技术设计智慧教室管理程序,实现智慧教室的管理。实验证明,设计的系统对于智慧教室管理服务请求的响应平均延迟时间为0.05 s,短于传统系统,能够对智慧教室管理服务做到实时响应。
