DocumentCode
1710360
Title
Further results on the DRF method for edge detection
Author
Shen, Jun ; Castan, Serge
Author_Institution
Dept. of Biomed. Eng., Nanjing Inst. of Technol., China
fYear
1988
Firstpage
223
Abstract
The magnitude-distance and maximum-value-distance filters are analyzed, and fast realizations are proposed to implement a DRF cascade for edge detection. It is shown that the maximum-value-distance filter is well adapted to parallel processing and works two times as fast as the magnitude-distance filter. It is shown also that the adaptive gradient is an optimal estimate for edge-pixel verification after zero-crossing detection. The efficiency of the proposed algorithms is confirmed by experimental results
Keywords
filtering and prediction theory; pattern recognition; DRF cascade; DRF method; adaptive gradient; edge detection; edge-pixel verification; magnitude-distance filters; maximum-value-distance filters; parallel processing; pattern recognition; zero-crossing detection; Clocks; Computational complexity; Euclidean distance; Filtering; Filters; Image edge detection; Image sampling; Magnetic resonance; Parallel processing; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1988., 9th International Conference on
Conference_Location
Rome
Print_ISBN
0-8186-0878-1
Type
conf
DOI
10.1109/ICPR.1988.28211
Filename
28211
Link To Document