A Method of the Adaptively Selected Auto-Focusing Evaluation Function According to the Image Noise Strength

Author

Jiang, Jintao ; Zhu, Feilong

Author_Institution

Fac. of Inf. Sci. & Eng., Ningbo Univ., Ningbo, China

fYear

2010

fDate

29-31 Oct. 2010

Firstpage

1

Lastpage

3

Abstract

This paper has done the detailed analysis on the focusing curve characteristics for several auto-focusing functions including the Brenner function, energy gradient function, average variance function and entropy function and further discussed different characteristics of the interference immunity of those functions. According to the image noise strength, different definition evaluation functions is selected to obtain the purpose of the best focusing effect. The method proposed in this paper has achieved the effective verification on the auto-focusing platform of the microscope developed independently.

Keywords

image processing; interference (signal); Brenner function; adaptive selected autofocusing evaluation function method; average variance function; energy gradient function; entropy function; focusing curve characteristics; image noise strength; interference immunity; Algorithm design and analysis; Entropy; Focusing; Interference; Microscopy; Noise; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Technology (ICMT), 2010 International Conference on

Conference_Location

Ningbo

Print_ISBN

978-1-4244-7871-2

Type

conf

DOI

10.1109/ICMULT.2010.5629819

Filename

5629819