发布时间: 2017-06-01 16:43:00
题 目： Edge Detection From Non-uniform Fourier Data
报 告 人：宋国辉 教授 Clarkson University
时 间： 2017-05-31 10:00--11:00
宋国辉教授现工作于美国Clarkson University的数学系，之前在Arizona State University和Illinois Institute of Technology工作，博士毕业于美国Syracuse University的数学系，他的研究领域横跨统计与计算数学的交叉学科。
Edge detection plays an important role in identifying regions of interest in an underlying signal or image. In some applications, such as magnetic resonance imaging (MRI) or synthetic aperture radar (SAR), data are sampled in the Fourier domain. The concentration factor method has been widely used in detecting edges from uniform Fourier data. Although in many cases the data are presumed to be sampled uniformly, there are some situations for which the data are collected non-uniformly, either by instrument design or by the circumstances surrounding the collection.