A new edge detection method using Gaussian-Zernike moment operator

Author

Li, Xin ; Song, Aiguo

Author_Institution

Remote Meas. & Control Key Lab., Southeast Univ., Nanjing, China

Volume

1

fYear

2010

fDate

6-7 March 2010

Firstpage

276

Lastpage

279

Abstract

In this paper, a new edge detection approach combining Zernike moment operator with Gaussian operator is proposed. This detection consists of two steps: Firstly, Gaussian is used to smooth the image; Secondly, Zernike operator is used to locate the edge. In the second step, only one mask is used to calculate the edge. In this way, the computational complexity of the new approach is one-third less than that of the former one which uses Zernike moments operator. The test result shows that this method possesses good detection precision and relative shorter run time.

Keywords

Gaussian distribution; Zernike polynomials; computational complexity; edge detection; Gaussian-Zernike moment operator; computational complexity; edge detection method; Asia; Automatic control; Computational complexity; Gaussian processes; Image edge detection; Informatics; Polynomials; Robot control; Robotics and automation; Testing; Gaussian operator; Zernike moment operator; edge detection; mark;

fLanguage

English

Publisher

ieee

Conference_Titel

Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on

Conference_Location

Wuhan

ISSN

1948-3414

Print_ISBN

978-1-4244-5192-0

Electronic_ISBN

1948-3414

Type

conf

DOI

10.1109/CAR.2010.5456847

Filename

5456847