Three-dimensional imaging and recognition of microorganisms using computational holography

被引:0
|
作者
Javidi, Bahram [1 ]
Yeom, Seokwon [1 ]
Moon, Inkyu [1 ]
Carapezza, Edward [2 ]
机构
[1] Univ Connecticut, Dept Elect & Comp Engn, U-2157, Storrs, CT 06269 USA
[2] DARPA, Arlington, VA 22203 USA
来源
AUTOMATIC TARGET RECOGNITION XVI | 2006年 / 6234卷
关键词
three-dimensional image processing; holographic interferometry; Fourier optics; feature extraction; pattern recognition;
D O I
10.1117/12.664209
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this keynote address, we introduce three-dimensional (3D) sensing, visualization and recognition of microorganisms using microscopy-based single-exposure on-line (SEOL) digital holography. A coherent Mach-Zehnder interferometer records Fresnel diffraction field by a single on-line exposure to generate a microscopic digital hologram. Complex amplitude distribution is numerically reconstructed by the inverse Fresnel transform at arbitrary depth planes. After the reconstruction of volumetric complex images, 3D biological micro-objects are segmented and features are extracted by Gabor-based wavelets. The graph matching technique searches predefined 3D morphological shapes of reference biological microorganisms. Preliminary experimental results using sphacelaria alga and tribonema aequale alga are presented.
引用
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页数:8
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