TY - JOUR
T1 - The effect of median filtering on edge location estimation
AU - Yang, G. J.
AU - Huang, T. S.
N1 - Funding Information:
*This work was supported by the U.S. Army Research Office under Contract DAAG 29-79-C-0200 (Technical monitor: Dr. William Sander, ARO; Scientific Liaison Representative: J. J. Fasano, USA ARRADCOM). +Now at Xerox, El Segundo, California. *Now at Coordinated Science Laboratory, University of Illinois, Urbana, Ill. 61801.
PY - 1981/3
Y1 - 1981/3
N2 - We study the effect of noise reduction preprocessing, specifically median filtering and averaging, on the accuracy of edge location estimation using least squares. The original edge is either a step or a linear ramp, corrupted by white Gaussian noise or binary symmetrical channel noise. The surprising conclusion is that in the case of white Gaussian noise, neither median filtering nor averaging improves the estimation accuracy. In the case of binary symmetrical channel noise, median filtering does improve the estimation accuracy for ramp edges, which are reasonable models for real-life edges.
AB - We study the effect of noise reduction preprocessing, specifically median filtering and averaging, on the accuracy of edge location estimation using least squares. The original edge is either a step or a linear ramp, corrupted by white Gaussian noise or binary symmetrical channel noise. The surprising conclusion is that in the case of white Gaussian noise, neither median filtering nor averaging improves the estimation accuracy. In the case of binary symmetrical channel noise, median filtering does improve the estimation accuracy for ramp edges, which are reasonable models for real-life edges.
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U2 - 10.1016/0146-664X(81)90057-5
DO - 10.1016/0146-664X(81)90057-5
M3 - Article
AN - SCOPUS:0019392776
SN - 0146-664X
VL - 15
SP - 224
EP - 245
JO - Computer Graphics and Image Processing
JF - Computer Graphics and Image Processing
IS - 3
ER -