Using Anisotropic Diffusion in the Multiscale Ridge Detection Method


如何引用文章

全文:

开放存取 开放存取
受限制的访问 ##reader.subscriptionAccessGranted##
受限制的访问 订阅存取

详细

A ridge detection algorithm is proposed for tracing blood vessels on images of the ocular fundus. Multiscale non-maximum suppression is applied to the image Laplacian. The multiscale algorithm exploits the pyramidal fine structure similarly to the SIFT method. Anisotropic diffusion is used in preprocessing, which makes it possible to boost the value of the convolution of the Laplacian with the Gaussian on ridge structures. The proposed algorithm has been tested on the ophthalmological image database DRIVE. The proposed preprocessing has substantially improved the ridge detection quality.

作者简介

N. Mamaev

Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University

编辑信件的主要联系方式.
Email: mamaev.nikolay93@mail.ru
俄罗斯联邦, Moscow

A. Krylov

Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University

Email: mamaev.nikolay93@mail.ru
俄罗斯联邦, Moscow

补充文件

附件文件
动作
1. JATS XML

版权所有 © Springer Science+Business Media, LLC, part of Springer Nature, 2019