Invariant 2D object recognition using the modulus maxima of a continuous wavelet transform

被引：0
|
作者：
Khalil, MI [1 ]
Bayoumi, MM [1 ]
机构：
[1] Queens Univ, Dept Elect & Comp Engn, Kingston, ON, Canada
来源：
PROCEEDINGS OF THE IEEE-EURASIP WORKSHOP ON NONLINEAR SIGNAL AND IMAGE PROCESSING (NSIP'99) | 1999年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a technique is proposed to recognize 2D objects under translation, rotation, and scale transformation. The technique is based on the continuous wavelet transform and neural networks. Experimental results are presented and compared with traditional methods. The experimental results showed that this refined technique was successfully capable of classifying the objects and that it outperformed some traditional methods especially in the presence of noise.
引用
收藏
页码：234 / 238
页数：5
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