Edge detection through residual analysis

Author

Lee, David ; Pavlidis, Theo ; Huang, Kai

Author_Institution

AT&T Bell Labs., Murray Hill, NJ, USA

fYear

1988

fDate

5-9 Jun 1988

Firstpage

215

Lastpage

222

Abstract

The authors provide theoretical justification for the use of zero crossings of residuals (between a filtered image and the original) for edge detection. The smoothed version is obtained by bilinear interpolation as a result of two-dimensional discrete regularization of subsampled images. The method is also applicable to smoothed images obtained by convolution with a Gaussian. Examples of applications of the method are shown for three kinds of pictures: aerial photographs, low-quality pictures of tools, and a high-quality picture of a face. The same parameters are used in all the examples. In addition they show examples of the results of one of the Canny edge detectors on the same pictures

Keywords

pattern recognition; aerial photographs; bilinear interpolation; edge detection; face; high-quality picture; low-quality pictures; pattern recognition; residual analysis; tools; two-dimensional discrete regularization; zero crossings; Computer science; Convolution; Detectors; Face detection; Filters; Image edge detection; Interpolation; Numerical analysis; Smoothing methods; Surface fitting;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on

Conference_Location

Ann Arbor, MI

ISSN

1063-6919

Print_ISBN

0-8186-0862-5

Type

conf

DOI

10.1109/CVPR.1988.196239

Filename

196239