DocumentCode :
2140577
Title :
Microscopic measurement using digital image restoration
Author :
Huayue Du ; Yong Qian ; Suhong He ; Chengguo Wu ; Yanhua Huang ; Xia Li
Author_Institution :
PLA Univ. of Sci. & Technol., Nanjing, China
fYear :
2013
fDate :
23-25 July 2013
Firstpage :
1398
Lastpage :
1402
Abstract :
The image deconvolution technique was applied in micro-measurement. By fabricating a pointolite, the point spread function of the optical system is measured. After using the maximum likelihood estimation algorithms and iteration threshold segmentation algorithms, the geometric blurring in traditional microscopy is removed. The technique is applied to measure areas of scratches scaled in 10 microns, which affect the surface properties of medical department of orthopedics plates. The technique makes great sense in the development of corresponding measurement.
Keywords :
image restoration; image segmentation; maximum likelihood estimation; digital image restoration; geometric blurring; image deconvolution technique; iteration threshold segmentation algorithms; maximum likelihood estimation algorithms; medical department; microscopic measurement; optical system; orthopedics plates; point spread function; surface properties; Biomedical optical imaging; Deconvolution; Digital images; Image restoration; Microscopy; Optical imaging; Optical variables measurement; Image deconvolution; micro-measure; point spread function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location :
Shenyang
Type :
conf
DOI :
10.1109/ICNC.2013.6818198
Filename :
6818198
Link To Document :
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