Fusion of Medical Microscopic Images Based on Estimation and Compensation

Author

Lv, Guoxiang ; He, Aijun ; Yang, Xi ; Ning, Xinbao

Author_Institution

Nanjing Univ., Nanjing

fYear

2007

fDate

23-27 May 2007

Firstpage

736

Lastpage

739

Abstract

Image mosaicing can solve the problem that only very limited field of view is available when highly magnifying lens is used in microscopes imaging. The paper puts forward an equation of the system´s influence to the grayscale distribution of the medical microscopic images, based on the analysis of the influence. Then, by the system equation and the accurate registration equation, the least-squares optimization error function can be formulated. By these equations, a set of transcendental equations is formed. We can estimate the system´s influence to the gray-level of the images by singular-value decomposition, based on the equations set, and compensating for it. This permits image mosaicing seamlessly, without lowering the speed.

Keywords

biomedical optical imaging; function approximation; image fusion; image registration; image resolution; image segmentation; least squares approximations; medical image processing; singular value decomposition; grayscale distribution; image fusion; image mosaicing; image registration equation; least-squares optimization error function; medical microscopic images; microscopes imaging; singular-value decomposition; Biomedical engineering; Biomedical imaging; Electron microscopy; Equations; Gray-scale; Helium; Image analysis; Layout; Lenses; Pixel;

fLanguage

English

Publisher

ieee

Conference_Titel

Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-1077-4

Electronic_ISBN

978-1-4244-1078-1

Type

conf

DOI

10.1109/ICCME.2007.4381835

Filename

4381835