DSP implementation of a low-complexity algorithm for real-time automated vessel detection in images of the fundus of the human retina

被引：2

作者：

Anzalone, Andrea ^{[1
]}

Bizzarri, Federico ^{[1
]}

Camera, Paolo ^{[1
]}

Petrillo, Luca ^{[1
]}

Storace, Marco ^{[1
]}

机构：

[1] Univ Genoa, Dept Biophys & Elect Engn, I-16145 Genoa, Italy

来源：

2007 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11 | 2007年

关键词：

D O I：

10.1109/ISCAS.2007.378230

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];

摘要：

In this paper we propose an algorithm for realtime vessel segmentation in sequences of RGB images of the human retina. The algorithm is made up of two main blocks providing vessel enhancement and thresholding, respectively. It is implemented on a DSP board for future embedding in ophthalmology equipments. The obtained results (binary images) show a good trade-off between processing speed and accuracy, since the main structure of the vessel network is preserved and the simplicity of the algorithm allows the DSP to process about ten images per second.

引用

页码：97 / 100

页数：4

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