A New Method for Uncertainty Evaluation of Centroid Detection

Author

Chen, Jiechun ; Zhao, Liping

Author_Institution

Coll. of Autom. Eng., Northeast Dianli Univ., Jilin, China

fYear

2009

fDate

17-19 Oct. 2009

Firstpage

1

Lastpage

4

Abstract

As a method of image feature extraction, centroid detection algorithm has been applied in many fields. Uncertainty evaluation of centroid detection is an important approach to evaluating the reliability of centroid detection. This paper presents a new method for uncertainty evaluation of centroid detection. The uncertainty associated with the intensity of a pixel, which involves in centroid detection, is firstly evaluated from the pixel intensity and the image gradient at the pixel. Then the uncertainties associated with centroid detection are evaluated by means of Monte Carlo Simulation. The mathematical model used to evaluate the uncertainty associated with pixel intensity is presented in the paper. The experiment results show that the statistical and evaluated uncertainties of centroid detection are quite close.

Keywords

Monte Carlo methods; feature extraction; uncertain systems; Monte Carlo simulation; centroid detection algorithm; image feature extraction; image gradient; mathematical model; pixel intensity; uncertainty evaluation; 1f noise; Adaptive optics; Biomedical optical imaging; Computer vision; Image sensors; Instruments; Optical sensors; Pixel; Uncertainty; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing, 2009. CISP '09. 2nd International Congress on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-4129-7

Electronic_ISBN

978-1-4244-4131-0

Type

conf

DOI

10.1109/CISP.2009.5304445

Filename

5304445