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The relationship between curvilinear structure enhancement and ridge detection methods
The Visual Computer ( IF 3.5 ) Pub Date : 2020-10-22 , DOI: 10.1007/s00371-020-01985-4
Haifa F. Alhasson , Chris G. Willcocks , Shuaa S. Alharbi , Adetayo Kasim , Boguslaw Obara

Curvilinear structure detection and quantification is a large research area with many imaging applications in fields such as biology, medicine, and engineering. Curvilinear enhancement is often used as a pre-processing stage for ridge detection, but there has been little investigation into the relationship between enhancement and ridge detection. In this paper, we thoroughly evaluate the pair-wise combinations of different curvilinear enhancement and ridge detection methods across two highly varied datasets, as well as samples of three other datasets. In particular, we present the approaches complementing one another and the gained insights, which will aid researchers in designing generic ridge detectors.

中文翻译:

曲线结构增强与脊检测方法的关系

曲线结构检测和量化是一个很大的研究领域,在生物学、医学和工程等领域有许多成像应用。曲线增强通常被用作脊检测的预处理阶段,但很少有关于增强和脊检测之间关系的研究。在本文中,我们彻底评估了两个高度变化的数据集以及其他三个数据集的样本中不同曲线增强和脊检测方法的成对组合。特别是,我们提出了相互补充的方法和获得的见解,这将有助于研究人员设计通用脊检测器。
更新日期:2020-10-22
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