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
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