Analysis of the Severity of Hypertensive Retinopathy Using Fuzzy Logic

被引:0
|
作者
Parthibarajan, Aravinthan [1 ]
Narayanamurthy, Gopalakrishnan [2 ]
Parthibarajan, Arun Srinivas [2 ]
Narayanamurthy, Vigneswaran [3 ]
机构
[1] DMI Coll Engg, Dept Comp Sci & Engn, Chennai, Tamil Nadu, India
[2] SSN Coll Engn, Dept Biomed Engn, Madras, Tamil Nadu, India
[3] Jaya Engn Coll, Dept Elect Commun, Madras, Tamil Nadu, India
来源
ADVANCED COMPUTING, PT III | 2011年 / 133卷
关键词
hypertensive retinopathy; hypertension; retinopathy; segmentation; SEGMENTATION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Eye, an organ associated with vision in man is housed in socket of bone called orbit and is protected from the external air by the eyelids. Hypertensive retinopathy is a one of the leading cause of blindness amongst the working class in the world. The retina is one of the "target organs" that are damaged by sustained hypertension. Subjected to excessively high blood pressure over prolonged time, the small blood vessels that involve the eye are damaged, thickening, bulging and leaking. Early detection can potentially reduce the risk of blindness. An automatic method to detect thickening, bulging and leaking from low contrast digital images of retinopathy patients is developed. Images undergo preprocessing for the removal of noise. Segmentation stage clusters the image into two distinct classes by the use of fuzzy c-means algorithm. This method has been tested using 50 images and the performance is evaluated. The results are encouraging and satisfactory and this method is to be validated by testing 200 samples.
引用
收藏
页码:1 / +
页数:3
相关论文
共 50 条
  • [41] Simulation of apparent infection rate to predict soybean rust severity using a fuzzy logic system
    Kim, K.
    Wang, T.
    Yang, X.
    PHYTOPATHOLOGY, 2005, 95 (06) : S53 - S54
  • [42] Prioritizing severity level of COVID-19 using correlation coefficient and intuitionistic fuzzy logic
    Tarannum S.
    Jabin S.
    International Journal of Information Technology, 2022, 14 (5) : 2469 - 2475
  • [43] Simulation of apparent infection rate to predict severity of soybean rust using a fuzzy logic system
    Kim, KS
    Wang, TC
    Yang, XB
    PHYTOPATHOLOGY, 2005, 95 (10) : 1122 - 1131
  • [44] Classification of the severity of diabetic neuropathy: a new approach taking uncertainties into account using fuzzy logic
    Picon, Andreja P.
    Ortega, Neli R. S.
    Watari, Ricky
    Sartor, Cristina
    Sacco, Isabel C. N.
    CLINICS, 2012, 67 (02) : 151 - 156
  • [45] Using fuzzy logic in business
    Bezdek, Vaclav
    CHALLENGES AND INNOVATIONS IN MANAGEMENT AND LEADERSHIP 12TH INTERNATIONAL SYMPOSIUM IN MANAGEMENT, 2014, 124 : 371 - 380
  • [46] Replication attempt to estimate depression severity by fuzzy logic analysis of emotion-focused fMRI
    Smith, Donald F.
    Nodskov, Hanne
    Winterdahl, Michael
    Lund, Torben E.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2013, 37 (02) : 498 - 499
  • [47] Fuzzy Logic and Financial Analysis
    Mares, Milan
    PRAGUE ECONOMIC PAPERS, 2010, 19 (04): : 383 - 384
  • [48] Mathematical modelling, analysis and design of fuzzy logic controller for the control of ventilation systems using MATLAB fuzzy logic toolbox
    Sharma, Shubham
    Obaid, Ahmed J.
    JOURNAL OF INTERDISCIPLINARY MATHEMATICS, 2020, 23 (04) : 843 - 849
  • [49] Relationship between nocturnal blood pressure profiles and the presence and severity of hypertensive retinopathy
    Duarte, Tatiana
    Goncalves, Sara
    Brito, Raquel
    Sa, Catarina
    Marinheiro, Rita
    Fonseca, Marta
    Rodrigues, Rita
    Seixo, Filipe
    Guerreiro, Anabela
    Fernandes, Andreia
    Carradas, Cristina
    Silvestre, Isabel
    Bernardino, Leonel
    Caria, Rui
    REVISTA PORTUGUESA DE CARDIOLOGIA, 2018, 37 (02) : 169 - 173
  • [50] HYPERTENSIVE RETINOPATHY
    KOHNER, EM
    TROPICAL DOCTOR, 1995, 25 (04) : 188 - 188