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