Title :
Decomposition of edge operators
Author_Institution :
General Electric Corporate Res. & Dev. Schenectady, NY, USA
Abstract :
Common 2-D kernels are decomposed into basic elements to minimize their complexity and to demonstrate how they are related. Decomposition of the popular SOBEL filter kernels shows that they can be replaced by functionally identical simpler kernels. This result is significant because it proves that the SOBEL filter can be implemented with faster software or hardware than is currently possible
Keywords :
computerised picture processing; digital filters; filtering and prediction theory; 2D kernels; SOBEL filter; computerised picture processing; edge detection; edge operator decomposition; kernels; Convolution; Data mining; Filters; Hardware; Image converters; Image edge detection; Kernel; Pixel; Research and development; Rivers;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28415
