Title :
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
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;
Conference_Titel :
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5192-0
Electronic_ISBN :
1948-3414
DOI :
10.1109/CAR.2010.5456847