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Three applications of pulse-coupled neural networks

机译:脉冲耦合神经网络的三种应用

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Abstract: Image segmentation is one of the major applicationareas for Pulsed Coupled Neural Networks (PCNN).Previous research has shown that the ability of PCNN toignore minor variations in intensity and small spatialdiscontinuities in images is beneficial to imagesegmentation as well as image smoothing. This paperdescribes research and development projects in progressin which PCNN is used for the segmentation of threedifferent types of digital images. The software for thediagnosis of Pulmonary Embolism from VQ lung scans usesPCNN in single burst mode for segmenting perfusion andventilation images. The second project is attempting todetect ischemia by comparing 3D SPECT (Single PhotonEmission Computed Tomography) images of heart obtainedduring stress and rest conditions, respectively. Thethird application is a space science project whichdeals with the study of global auroral images obtainedfrom Ultraviolet Imager. The paper also describes anhardware implementation of PCNN as an electro-opticalchip.!5
机译:摘要:图像分割是脉冲耦合神经网络(PCNN)的主要应用领域之一。先前的研究表明,PCNN忽略图像强度的细微变化和较小的空间不连续性的能力有利于图像分割和图像平滑。本文介绍了正在进行的研究和开发项目,其中PCNN用于分割三种不同类型的数字图像。 VQ肺部扫描诊断肺栓塞的软件使用PCNN以单脉冲模式对灌注和通气图像进行分割。第二个项目正在尝试通过比较分别在压力和休息条件下获得的心脏的3D SPECT(单光子发射计算机断层扫描)图像来检测缺血。第三个应用程序是一个空间科学项目,旨在研究从紫外线成像仪获得的全球极光图像。本文还介绍了PCNN作为电光芯片的硬件实现。!5

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