Segmentation of Images from Fourier Spectral Data

被引：0

作者：

Gelb, Anne ^{[1
]}

Cates, Dennis ^{[1
]}

机构：

[1] Arizona State Univ, Dept Math & Stat, Tempe, AZ 85287 USA

来源：

COMMUNICATIONS IN COMPUTATIONAL PHYSICS | 2009年 / 5卷 / 2-4期

关键词：

Fourier coefficients; edge detection; segmentation; SERIES; EDGES; MRI;

D O I：

暂无

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

This paper designs a segmentation method for an image based on its Fourier spectral data. An edge map is generated directly from the Fourier coefficients without first reconstructing the image in pixelated form. Consequently the internal boundaries of the edge map are not blurred by any (filtered) Fourier reconstruction. The edge map is then processed with an edge linking segmentation algorithm. We include examples from magnetic resonance imaging (MRI). Our results illustrate some potential benefits of using high order methods in imaging.

引用

页码：326 / 349

页数：24

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