信息公告
应用数理学院学术报告(12月29日)
发布时间:2016-12-29 

报告人:Kit Ian KOU (University of Macau)

报告题目:Edge Detection Methods Associated with Monogenic Scale-Space

报告时间:20161229(周四)14:30-15:30

报告地点:数理楼四层2422

报告内容简介: Edge detection has been widely used in medical image processing and automatic diagnosis.

Some novel edge detection algorithms, based on the monogenic scale-space, are proposed by detecting points of local extrema in local amplitude, the local attenuation and modified differential phase congruency methods.

The monogenic scale-space is obtained from a known image by Poisson and conjugate Poisson filtering. In mathematics, it is the Hardy space in the upper half-space. The boundary value of the monogenic scale-space representation is a monogenic image. Using Clifford analysis, the relations between the local attenuation and the local phase vector are obtained. These study will be improved the understanding of image analysis in higher dimensional spaces. Experimental results are shown by using some typical images.

报告人简介 :Kit Ian KOU is an Associate Professor at the University of Macau. Her current research interests include Fourier analysis, sampling theory, time-frequency analysis, signal and image processing. Prof. Kou is a Life Member of Clare Hall, University of Cambridge, United Kingdom.

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联系人:李静

应用数理学院

20161226