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
收藏
页码：543 / 546
页数：4
相关论文
共 50 条
  • [1] Genetic algorithm matched filter optimization for automated detection of blood vessels from digital retinal images
    Al-rawi, Mohammed
    Karajeh, Huda
    [J]. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2007, 87 (03) : 248 - 253
  • [2] Automated Extraction and Analysis of Retinal Blood Vessels with Multi Scale Matched Filter
    Elson, Jeffy
    Precilla, Jency
    Reshma, P.
    Madhavaraja, N. Sri
    [J]. 2017 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING, INSTRUMENTATION AND CONTROL TECHNOLOGIES (ICICICT), 2017, : 775 - 779
  • [3] A fast method for automated detection of blood vessels in retinal images
    Wang, YM
    Lee, SC
    [J]. THIRTY-FIRST ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2, 1998, : 1700 - 1704
  • [4] Detection of blood vessels in retinal images using improved iterative threshold probing of a matched filter response
    Wang, Yongli
    Lu, Huihai
    Xu, Mantao
    Zhang, Jiwu
    [J]. APCMBE 2008: 7TH ASIAN-PACIFIC CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING, 2008, 19 : 241 - +
  • [5] Automated extraction of blood vessels in retinal images using rolling guidance filter
    Maharana, Deepak Kumar
    Das, Pranati
    [J]. INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY, 2024, 45 (01) : 45 - 64
  • [6] An improved matched filter for blood vessel detection of digital retinal images
    Al-Rawi, Mohammed
    Qutaishat, Munib
    Arrar, Mohammed
    [J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2007, 37 (02) : 262 - 267
  • [7] Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response
    Hoover, A
    Kouznetsova, V
    Goldbaum, M
    [J]. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2000, 19 (03) : 203 - 210
  • [8] Automated techniques for blood vessels segmentation through fundus retinal images: A review
    Akbar, Shahzad
    Sharif, Muhammad
    Akram, Muhammad Usman
    Saba, Tanzila
    Mahmood, Toqeer
    Kolivand, Mahyar
    [J]. MICROSCOPY RESEARCH AND TECHNIQUE, 2019, 82 (02) : 153 - 170
  • [9] DETECTION OF BLOOD VESSELS IN RETINAL IMAGES
    Jlassi, Hejer
    Hamrouni, Kamel
    [J]. INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS, 2010, 10 (01) : 57 - 72
  • [10] Automated Detection of Retinal Blood Vessels in Diabetic Retinopath Using Gabor Filter
    Kaur, Jaspreet
    Sinha, H. P.
    [J]. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2012, 12 (04): : 109 - 115
12345