Abstract:

This paper analyzes the embedded smoothing processing in some commonly used gradient operators used in edge detection, including Prewitt’s operator, Sobel’s operator, Canny’s detector and a wavelet transformation based method. The effects of the embedded smoothing processing on edge detection are studied and compared. The paper also reduces the design of a gradient operator to the design of one or two one dimensional smoothing functions.

Keywords: smoothing, gradient operator, convolution, edge detection.

(Full Paper 822 KB)

Biographies:

Tieling Chen is an Assistant Professor in the Mathematical Sciences Department of the University of South Carolina at Aiken, USA, since 2002. He received a Ph. D. degree in Mathematics in 2001 and a M. S. degree in Computer Science in 2002 from the University of Western Ontario, Canada. His present research interest is mathematical operations in image processing.

BibTex:

@ARTICLE{P1150721005,

AUTHOR = {Tieling Chen},

TITLE = {Embedded Smoothing Processing in Spatial Gradient Operators, a Comparative Study},

JOURNAL ={ICGST International Journal on Graphics, Vision and Image Processing, GVIP},

YEAR = {2007},

VOLUME = {07},

ISSUE ={II},

PAGES={7--15}

}

(Full Paper 822 KB)