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基于涡旋滤波的图像边缘增强研究进展
引用本文:顾忠政,殷达,聂守平,冯少彤,邢芳俭,马骏,袁操今.基于涡旋滤波的图像边缘增强研究进展[J].红外与激光工程,2019,48(6):603015-0603015(14).
作者姓名:顾忠政  殷达  聂守平  冯少彤  邢芳俭  马骏  袁操今
作者单位:1.南京师范大学 物理与技术学院 江苏省光电技术重点实验室,江南 南京 210023;
基金项目:国家重点研发计划(2017YFB0503505);国家自然科学基金(NSFC)(61775097,61575095);教育部虚拟地理环境重点实验室(南京师范大学)开放基金(2017VGE02)
摘    要:作为图像处理的一个重要手段,边缘增强技术对振幅型和相位型物体成像有着重要的作用。而基于径向希尔伯特变换的涡旋滤波技术因其能够实现各向同性边缘增强倍受关注,但传统的涡旋滤波由于中心奇点和锐利边缘引起的衍射会造成背景噪声的加剧和对比度的降低。近年来众多课题组针对涡旋滤波旁瓣抑制提出了种类各异的新型涡旋滤波器,此外基于涡旋滤波的各向同性和各向异性边缘增强技术也得到了迅速发展。文中扼要地总结了近年来几种抑制涡旋旁瓣的方法,包括拉盖尔高斯振幅调制、贝塞尔振幅调制、艾里振幅调制,并从标量涡旋滤波和矢量涡旋滤波两个方面分别综述了各向同性和各向异性边缘增强的实现方法与研究进展。

关 键 词:旁瓣抑制    涡旋滤波    边缘增强
收稿时间:2019-04-05

Advances of image edge enhancement based on vortex filtering
Affiliation:1.Jiangsu Key Laboratory for Opto-Electronic Technology,School of Physics and Technology,Nanjing Normal University,Nanjing 210023,China;2.Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China;3.School of Electronic Engineering and Optoelectronic Techniques,Nanjing University of Science and Technology,Nanjing 210094,China
Abstract:As an important means of image processing, the edge enhancement techniques play an important role in amplitude-contrast and phase-contrast objects imaging. The vortex filtering techniques based on radial Hilbert transform have attracted much attention because it can achieve isotropic edge enhancement. However, the classical vortex filtering causes background noise and contrast reduction due to diffraction caused by central singularities and sharp edges. In recent years, many research groups have proposed new types of vortex filters for vortex filtering side lobe suppression. In addition, the isotropic and anisotropic edge enhancement techniques based on vortex filtering have also developed rapidly. In this paper, several methods for suppressing vortex side lobes were summarized in recent years, including Laguerre Gaussian amplitude modulation, Bessel-like amplitude modulation, and Airy amplitude modulation. What's more, from two aspects:scalar vortex filtering and vector vortex filtering, the isotropic and anisotropic edge enhancement methods and progress were reviewed.
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