LOCAL REPRODUCIBLE SMOOTHING WITHOUT SHRINKAGE

被引:26
作者
OLIENSIS, J
机构
[1] Department of Computer and Information Science, University of Massachusetts, Amherst
关键词
CONTOURS; CURVE SHRINKAGE; EDGES; FOURIER REPRESENTATION; LINES; MATCHING; SCALE SPACE; SHAPE DESCRIPTION; SMOOTHING;
D O I
10.1109/34.204914
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A simple local smoothing filter is defined for curves or surfaces, combining the advantages of Gaussian smoothing and Fourier curve description. Unlike Gaussian filters, the filter described here has no shrinkage problem. Repeated application of the filter does not yield a curve or surface smaller than the original but simply reproduces the approximate result that would have been obtained by a single application at the largest scale. Unlike Fourier description, the filter is local in space. The wavelet transform of Meyer [7] is also shown to have these properties.
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页码:307 / 312
页数:6
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