DocumentCode :
1641355
Title :
Robust relational trees by scale-space filtering
Author :
Stach, John ; Shaw, Scott
Author_Institution :
SRI Int., Menlo Park, CA, USA
fYear :
1992
Firstpage :
173
Lastpage :
176
Abstract :
A relational tree (RT) is a signal representation used to discriminate between multidimensional signals with arbitrary nonlinear monotonic distortion. The use of RTs is limited by noise. Scale-space filtering takes advantage of the inherently scale-like properties of an RT to provide a more robust signal representation across distortions. Some methods and properties of Gaussian scale-space filtering of RTs are examined. Scale trees (STs) and conventionally filtered (fixed-scale) RTs have been shown to be subsets of this process. Since the effect of scale-space filtering is to move segmentation uncertainty toward the leaves of the tree, other operations performed in the tree domain, such as filtering, can be optimized as well
Keywords :
filtering and prediction theory; signal processing; trees (mathematics); Gaussian filtering; inherently scale-like properties; leaves; multidimensional signals; noise; nonlinear monotonic distortion; optimisation; relational tree; scale-space filtering; segmentation uncertainty; signal representation; Acoustic distortion; Filtering; Multidimensional signal processing; Multidimensional systems; Nonlinear distortion; Optical distortion; Optical filters; Optical signal processing; Robustness; Signal representations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0805-0
Type :
conf
DOI :
10.1109/TFTSA.1992.274209
Filename :
274209
Link To Document :
بازگشت