Dimensionality Reduction of Multispectral Images Representing Anatomical Structures of an Eye

被引:0
|
作者
Switonski, Adam [1 ,2 ]
Blachowicz, Tomasz [2 ]
Zielinski, Marcin [3 ]
Josinski, Henryk [1 ,2 ]
机构
[1] Polish Japanese Inst Informat Technol, Aleja Legionow 2, PL-41902 Bytom, Poland
[2] Silesian Tech Univ, PL-41100 Gliwice, Poland
[3] Wroclaw Med Univ, PL-50556 Wroclaw, Poland
关键词
Index multispectral imaging; retina diagnosis; dimensionality reduction; unsupervised learning; manifold learning; Principal Component Analysis; Kernel Principal Component Analysis; CLASSIFICATION;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The system for multispectral acquisition and inspection of anatomical structures of an eye is presented. It is dedicated to the diagnoses of retinal and external eye structures. The basic components of the system are a slit lamp, liquid crystal tunable filter, high sensitivity monochrome camera and specialized control software. Multispectral image processing procedures to the visualization and further processing purposes are proposed. Dimensionality reduction techniques are used to reduce spectral space into three dimensional ones by linear and non linear transformations. On the basis of three dimensional spaces color images are constructed. To reduce the impact of non uniform lightening of captured spectra, two methods of spectra normalization are proposed. The examples of collected multispectral images containing eye structures and the results of their processing are presented.
引用
收藏
页码:740 / 745
页数:6
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