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arXiv 1402.4963cs.CV
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通过多尺度方向评分的血管性

Vesselness via Multiple Scale Orientation Scores

Eindhoven University of Technology(埃因霍温理工大学)

Julius Hannink, Remco Duits, Erik Bekkers

摘要:

多尺度Frangi血管滤波器是(视网膜)血管成像中的既定工具。然而,它不能处理交叉或分叉,因为它只寻找细长结构。因此,我们通过(多尺度)可逆方向分数解开图像中的交叉结构。通过尺度取向分数描述的血管性滤波器在增强整个交叉和分叉的血管方面比Frangi版本表现得好得多。这两种方法都在公共数据集上进行评估。性能是通过比较地面实况数据的基本阈值和形态成分分析过滤后的图像得到的分割结果。

英文摘要:

The multi-scale Frangi vesselness filter is an established tool in (retinal) vascular imaging. However, it cannot cope with crossings or bifurcations, since it only looks for elongated structures. Therefore, we disentangle crossing structures in the image via (multiple scale) invertible orientation scores. The described vesselness filter via scale-orientation scores performs considerably better at enhancing vessels throughout crossings and bifurcations than the Frangi version. Both methods are evaluated on a public dataset. Performance is measured by comparing ground truth data to the segmentation results obtained by basic thresholding and morphological component analysis of the filtered images.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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