An Application of Quadratic Measure Filters to the Segmentation of Chorio-Retinal OCT Data

被引：0

作者：

Wagner, Marcus ^{[1
]}

机构：

[1] Univ Leipzig, IMISE, Hartelstr 16-18, D-04107 Leipzig, Germany

来源：

JOURNAL OF MATHEMATICAL IMAGING AND VISION | 2018年 / 60卷 / 02期

关键词：

Functions of bounded variation; Jump set; Quadratic measure filter; Edge detection; Optical coherence tomography; Retinal layer boundary; Outer choroid boundary; AUTOMATED CHOROIDAL SEGMENTATION; IMAGE SEGMENTATION; EDGE-DETECTION; LAYERS; APPROXIMATION; THICKNESS; MODEL; SHAPE;

D O I：

10.1007/s10851-017-0752-2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As an application of Walther's convergence theorem for quadratic measure filters, a novel approach for the approximate detection of the jump set of functions has been established. The method has been successfully applied to the segmentation of medical image data which have been generated by optical coherence tomography of the human retina and choroid. There is an excellent correspondence between the automated segmentations and manual delineations, while standard edge detectors fail completely in the recognition of the low-contrasted outer choroid boundary.

引用

页码：216 / 231

页数：16

共 26 条

[1] An Application of Quadratic Measure Filters to the Segmentation of Chorio-Retinal OCT Data
Marcus Wagner
Journal of Mathematical Imaging and Vision, 2018, 60 : 216 - 231
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