Edge subpixel location of ellipse in computer vision measurement

Author

Baozhang, Li ; Yanping Cui

Author_Institution

Sch. of Mech. & Electron. Eng., Hebei Univ. of Sci. & Technol., Shijiazhuang, China

fYear

2011

fDate

18-20 Jan. 2011

Firstpage

452

Lastpage

456

Abstract

Ellipse is the important element in the computer vision measurement. A spatial moment operator with three gray model is researched. First the LOG operator is used to locate the edge at the level of pixel quickly, and then the spatial moment is used to detect subpixel location of the discrete points of edge. The least square fitting is adopted to fit the ellipse´s subpixel edge points which have been detected by Hough transform. The validity and precision of spatial moment subpixel edge detection and the detection of ellipse on image plane is studied. The experiments show that spatial moment subpixel edge detection and the detection of ellips on image plane have acquired high precision stability.

Keywords

Hough transforms; edge detection; feature extraction; least squares approximations; Hough transform; LOG operator; computer vision measurement; edge subpixel location; ellipse detection; ellipse location; image plane; least square fitting; spatial moment operator; spatial moment subpixel edge detection; Image edge detection; Image resolution; Transforms; Edge detection; Ellipse extract; Hough transform; Least square fitting; Spatial moment;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Control (ICACC), 2011 3rd International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-8809-4

Electronic_ISBN

978-1-4244-8810-0

Type

conf

DOI

10.1109/ICACC.2011.6016452

Filename

6016452