DocumentCode
3498441
Title
Fast edge detection for color image
Author
Wu, Paul S. ; Li, Ming
Author_Institution
Dept. of Manuf. Eng., City Univ. of Hong Kong, Kowloon, Hong Kong
Volume
2
fYear
1996
fDate
14-18 Oct 1996
Firstpage
871
Abstract
A fast edge detection method based on the pyramid structure and vector operator is presented for color image analysis. The pyramid image structure has been used to reduce the computational cost. The vector operator which utilizes the inherent correlation between the RGB channels of a color image is applied to obtain an edge map at the top pyramid level. The edge interpolation, adjustment and smoothing are carried out to obtain the edge maps of the bottom pyramid levels from the top
Keywords
correlation methods; edge detection; image colour analysis; interpolation; smoothing methods; RGB channels; bottom pyramid levels; color image analysis; computational cost reduction; correlation; edge adjustment; edge interpolation; edge maps; edge smoothing; fast edge detection; pyramid image structure; top pyramid level; vector operator; Color; Colored noise; Computational efficiency; Detectors; Gaussian noise; Image analysis; Image edge detection; Interpolation; Low pass filters; Smoothing methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 1996., 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-2912-0
Type
conf
DOI
10.1109/ICSIGP.1996.566226
Filename
566226
Link To Document