Performance analysis of matched filter techniques for automated detection of blood vessels in retinal images

被引：6

作者：

Banumathi, A ^{[1
]}

Devi, RK ^{[1
]}

Raju ^{[1
]}

Kumar, VA ^{[1
]}

机构：

[1] Thiagarajar Coll Engn, Dept Elect & Commun Engn, Madurai 625015, Tamil Nadu, India

来源：

IEEE TENCON 2003: CONFERENCE ON CONVERGENT TECHNOLOGIES FOR THE ASIA-PACIFIC REGION, VOLS 1-4 | 2003年

关键词：

D O I：

10.1109/TENCON.2003.1273220

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper addresses the issues in the development of automated system for the analysis of retinal angiographic images, providing focus on the segmentation of the blood vessels. Performance of three different Template Matching Algorithms are analyzed in respect of the detection of blood vessels in the retinal images for both gray-level and color images. The Gausian Matched Filter (GMF) and Binary Matched Filter (BMF) are used to detect the edges of blood vessels and capillaries of gray level images and also to reduce the noise. Kirsch Template Matched Filter (KMF) is used for same purpose in color images. The results obtained provide the complete vessle map, there by increasing the diagnostic ease of the ophthalmologist.

引用

页码：543 / 546

页数：4

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