Title :
Edge detection through residual analysis
Author :
Lee, David ; Pavlidis, Theo ; Huang, Kai
Author_Institution :
AT&T Bell Labs., Murray Hill, NJ, USA
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
Conference_Location :
Ann Arbor, MI
Print_ISBN :
0-8186-0862-5
DOI :
10.1109/CVPR.1988.196239
