Comparison of various fractal analysis methods for retinal images

被引：4
|
作者：
Deepika, V [1 ]
JeyaLakshmi, V [1 ]
Latha, P. [2 ]
Raman, Rajiv [3 ]
Srinivasalu, S. [1 ]
Surya, Janani R. [3 ]
Raman, Sundaresan [4 ]
Kandle, K. S. [3 ]
机构：
[1] Anna Univ, Chennai, Tamil Nadu, India
[2] Govt Coll Engn, Tirunelveli, India
[3] Sankara Nethralaya Med Res Fdn, Chennai, Tamil Nadu, India
[4] Birla Inst Technol & Sci, Pilani, Rajasthan, India
来源：
BIOMEDICAL SIGNAL PROCESSING AND CONTROL | 2021年 / 63卷
关键词：
Fractal analysis; Retina; Diabetic retinopathy; DIMENSION;
D O I：
10.1016/j.bspc.2020.102245
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Retinal vessels are known to behave like a fractal, waherein a part of a geometrical pattern resembles the whole. Although the box counting method has been used most commonly, currently there exists no "best method" for fractal analysis on retinal vessels. In the present study we compared the different methods of fractal analysis of retinal images. This study included 43 normal retinal images from public databases (STARE & DRIVE) and 40 retinal images (20 normal and 20 diseased) collected from an epidemiological study database (Sankara Neth-ralaya diabetic retinopathy epidemiology and molecular genetics study; SNDREAMS). In our study we calculated and compared the values of fractal dimensions by Box counting method, Hausdorff Fractal Dimension (HFD), Modified Hausdorff Fractal Dimension (MHFD) and Fourier Fractal Dimension (FFD). The coefficient of variation (CV) was the least with HFD methods in different databases (DRIVE & STARE:-0.088, SNDREAMS Normal retinal images:-0.117, SNDREAMS Diseased retinal images:-0.103). Our study showed that HFD method was the best method to calculate the fractal dimensions of normal and diseased retinal images.
引用
收藏
页数：7
相关论文
共 50 条
  • [1] Multiscale analysis of tortuosity in retinal images using wavelets and fractal methods
    Mayrhofer-Reinhartshuber, Michael
    Cornforth, David J.
    Ahammer, Helmut
    Jelinek, Herbert F.
    PATTERN RECOGNITION LETTERS, 2015, 68 : 132 - 138
  • [2] Metrics for comparison of image dataset and segmentation methods for fractal analysis of retinal vasculature
    El-Youssfi, Asmae Igalla
    Lopez-Alonso, Jose Manuel
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2025, 105
  • [3] Fractal analysis of the retinal vascular network in fundus images
    MacGillivray, T. J.
    Patton, N.
    Doubal, F. N.
    Graham, C.
    Wardlaw, J. A.
    2007 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-16, 2007, : 6456 - +
  • [4] Comparison of Image Compression Methods on Various Images
    Kumar, Jeet
    Kumar, Manish
    2015 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTER ENGINEERING AND APPLICATIONS (ICACEA), 2015, : 114 - 118
  • [5] Robustness of Fourier fractal analysis in differentiating subgroups of retinal images
    Relan, Devanjali
    Jain, Deepti
    Mittal, Vrinda
    JOURNAL OF DISCRETE MATHEMATICAL SCIENCES & CRYPTOGRAPHY, 2019, 22 (02): : 101 - 111
  • [6] Fractal Analysis of Neovascularization due to Diabetic Retinopathy in Retinal Fundus Images
    Mudigonda, Sathvika
    Oloumi, Faraz
    Katta, Kalyana M.
    Rangayyan, Rangaraj M.
    2015 E-HEALTH AND BIOENGINEERING CONFERENCE (EHB), 2015,
  • [7] COMPARISON OF FRACTAL COMPRESSION METHODS IMPACT ON RADIOGRAPHIC IMAGES OF WELD DEFECTS
    Mekhalfa, F.
    Berkani, D.
    2012 MOSHARAKA INTERNATIONAL CONFERENCE ON COMMUNICATIONS, COMPUTERS AND APPLICATIONS (MIC-CCA), 2012, : 41 - 46
  • [8] Comparison of Automatic Blood Vessel Segmentation Methods in Retinal Images
    Maruthusivarani, M.
    Ramakrishnan, T.
    Santhi, D.
    Muthukkutti, K.
    2013 INTERNATIONAL CONFERENCE ON EMERGING TRENDS IN VLSI, EMBEDDED SYSTEM, NANO ELECTRONICS AND TELECOMMUNICATION SYSTEM (ICEVENT 2013), 2013,
  • [9] Comparison of image registration methods for composing spectral retinal images
    Laaksonen, Lauri
    Claridge, Ela
    Falt, Pauli
    Hauta-Kasari, Markku
    Uusitalo, Hannu
    Lensu, Lasse
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2017, 36 : 234 - 245
  • [10] Fractal analysis of remotely sensed images: A review of methods and applications
    Sun, W.
    Xu, G.
    Gong, P.
    Liang, S.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2006, 27 (22) : 4963 - 4990
12345