DocumentCode
388211
Title
A frequency domain approach to synthesizing near optimum edge detection filters
Author
Haas, William H. ; Lindquist, Claude S.
Author_Institution
California State University, Long Beach, California
Volume
5
fYear
1980
fDate
29312
Firstpage
745
Lastpage
748
Abstract
A frequency domain approach to synthesizing near optimum edge detection filters is presented. This approach is based on the "method of ideal filter design"[1] which involves first deriving an ideal filter with a weighted least-squares-error realizable filter. For the spatial edge detection application, the high resolution ideal detection filter is employed along with some form of spectral smoothing or averaging to reduce an unwanted cross spectral density term. An example is presented to demonstrate the approach and results of filter application. The synthesis procedure presented here is most applicable to adaptive systems employing an FFT.
Keywords
Context modeling; Digital filters; Frequency domain analysis; Image edge detection; Linear systems; Matched filters; Signal resolution; Smoothing methods; Spatial resolution; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '80.
Type
conf
DOI
10.1109/ICASSP.1980.1170842
Filename
1170842
Link To Document