EXTRACTING NATURAL SCALES USING FOURIER DESCRIPTORS

被引:12
作者
ROSIN, P
VENKATESH, S
机构
[1] Cognitive Systems Group, School of Computing Science, Curtin University of Technology, Perth
关键词
NATURAL-SCALE; MULTISCALE REPRESENTATION; FOURIER TRANSFORM; CURVE ANALYSIS;
D O I
10.1016/0031-3203(93)90144-L
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Since contours often contain many different sized structures they need to be described at multiple scales. Rather than describe a contour at all scales it is more efficient to identify the most significant scales that best represent the structures present. These natural scales are determined by examining the Fourier descriptors of the contour and searching for significant bands, These correspond to bandwidths required to extract features at qualitatively significant resolution. Examples are given of using the determined scales in both low pass and high pass filters to eliminate fine and coarse detail.
引用
收藏
页码:1383 / 1393
页数:11
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