Sequential graph-based extraction of curvilinear structures

被引：1

作者：

Alharbi, Shuaa S. ^{[1
,2
]}

Willcocks, Chris G. ^{[1
]}

Jackson, Philip T. G. ^{[1
]}

Alhasson, Haifa F. ^{[1
,2
]}

Obara, Boguslaw ^{[1
]}

机构：

[1] Univ Durham, Dept Comp Sci, Durham, England

[2] Qassim Univ, Comp Collage, Buraydah, Saudi Arabia

来源：

SIGNAL IMAGE AND VIDEO PROCESSING | 2019年 / 13卷 / 05期

关键词：

Curvilinear structures; Centreline enhancement; Graph-based method; Object detection; SEGMENTATION; ALGORITHM; IMAGES;

D O I：

10.1007/s11760-019-01431-6

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, a new approach is proposed to extract an ordered sequence of curvilinear structures in images, capturing the largest and most influential paths first and then progressively extracting smaller paths until a prespecified size is reached. The results are demonstrated both quantitatively and qualitatively using synthetic and real-world images. The method is shown to outperform comparator methods for certain cases of noise, object class, and scale, while remaining fundamentally easier to use due to its low parameter requirement.

引用

页码：941 / 949

页数：9

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