Regions of Interest in a Fundus Image Selection Technique Using the Discriminative Analysis Methods

被引：19
作者：
Ilyasova, Nataly [1 ,2 ]
Paringer, Rustam [1 ,2 ]
Kupriyanov, Alexander [1 ,2 ]
机构：
[1] Samara Natl Res Univ, Samara, Russia
[2] Russian Acad Sci, Image Proc Syst Inst, Branch Fed Sci Res Ctr, Crystallog & Photon, Samara, Russia
来源：
COMPUTER VISION AND GRAPHICS, ICCVG 2016 | 2016年 / 9972卷
关键词：
Fundus images; Image processing; Diagnostic features; Laser coagulation; Texture analysis; SEGMENTATION;
D O I：
10.1007/978-3-319-46418-3_36
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A technique of formation of the effective features for the identification of regions of interest (ROI) in fundus images during laser coagulation is proposed. The technique is based on the texture analysis of selected image patterns. The analysis of informative value of obtained feature space and the selection of the most effective features is performed using the data discriminative analysis. The best values of image fragmentation dimensions for the image segmentation and the feature sets providing the precise identification required for regions of interest are determined herein.
引用
收藏
页码：408 / 417
页数：10
相关论文
共 17 条
  • [1] An Integrated Index for the Identification of Diabetic Retinopathy Stages Using Texture Parameters
    Acharya, U. Rajendra
    Ng, E. Y. K.
    Tan, Jen-Hong
    Sree, S. Vinitha
    Ng, Kwan-Hoong
    [J]. JOURNAL OF MEDICAL SYSTEMS, 2012, 36 (03) : 2011 - 2020
  • [2] Astakhov Y. S., 2009, OPHTHALMOL SHEETS, V4, P59
  • [3] Chhablani Jay, 2013, Oman J Ophthalmol, V6, P18, DOI 10.4103/0974-620X.111898
  • [4] Using texture analyses of contrast enhanced CT to assess hepatic fibrosis
    Daginawala, Naznin
    Li, Baojun
    Buch, Karen
    Yu, HeiShun
    Tischler, Brian
    Qureshi, Muhammad Mustafa
    Soto, Jorge A.
    Anderson, Stephan
    [J]. EUROPEAN JOURNAL OF RADIOLOGY, 2016, 85 (03) : 511 - 517
  • [5] Ilyasova N., 2015, SCI J P SAMARA SCI C, V17, P1015
  • [6] FORMATION OF FEATURES FOR IMPROVING THE QUALITY OF MEDICAL DIAGNOSIS BASED ON DISCRIMINANT ANALYSIS METHODS
    Ilyasova, N. Yu.
    Kupriyanov, A. V.
    Paringer, R. A.
    [J]. COMPUTER OPTICS, 2014, 38 (04) : 851 - 855
  • [7] METHODS FOR DIGITAL ANALYSIS OF HUMAN VASCULAR SYSTEM. LITERATURE REVIEW
    Ilyasova, N. Yu.
    [J]. COMPUTER OPTICS, 2013, 37 (04) : 511 - 535
  • [8] Ilyasova NY., 2015, Opt. Mem. Neural Networks, V24, P309, DOI [10.3103/S1060992X15040037, DOI 10.3103/S1060992X15040037]
  • [9] Keinosuke Fukunaga, 1972, Introduction to Statistical Pattern Recognition
  • [10] Kernt M, 2012, OPHTHALMOLOGE, V109, P692, DOI 10.1007/s00347-012-2559-2
12