Automatic Measurement of ISNT and CDR on Retinal Images by Means of a Fast and Efficient Method Based on Mathematical Morphology and Active Contours

被引：3

作者：

Verdu-Monedero, Rafael ^{[1
]}

Morales-Sanchez, Juan ^{[1
]}

Berenguer-Vidal, Rafael ^{[2
]}

Selles-Navarro, Inmaculada ^{[3
]}

Palazon-Cabanes, Ana ^{[3
]}

机构：

[1] Univ Politecn Cartagena, Cartagena 30202, Spain

[2] Univ Catolica San Antonio, Murcia 30107, Spain

[3] Hosp Univ Reina Sofia, Murcia 30003, Spain

来源：

FROM BIOINSPIRED SYSTEMS AND BIOMEDICAL APPLICATIONS TO MACHINE LEARNING, PT II | 2019年 / 11487卷

关键词：

Glaucoma; ISNT; CDR; Image processing; Mathematical morphology; Active contours; NERVE-FIBER LAYER; OPTICAL COHERENCE TOMOGRAPHY; NEURORETINAL RIM; DISC; PARAMETERS; GLAUCOMA; RULE; IMPLEMENTATION; SEGMENTATION; ATROPHY;

D O I：

10.1007/978-3-030-19651-6_35

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes a fast and efficient method to automatically measure the ISNT and CDR in retinal images. The method is based on a robust detection of the optic disk and excavation in a enhanced retinal image by means of morphological operators. Using this coarse segmentation as initialization, two parametric active contours implemented in the frequency domain perform a fine segmentation of the optic disk and excavation. The resulting curves allow the automatic calculation of the ISNT and CDR values, which are important features to consider in the early detection of glaucoma. The accuracy and precision of the method has been tested and compared with the evaluation of two ophthalmologists in a preliminary set of images.

引用

页码：361 / 370

页数：10

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