光学小波匹配滤波器与图形识别

OPTICAL PATTERN RECOGNITION USING WAVELET TRANSFORM

小波变换弥补了傅里叶变换的不足 ,在信号及图像处理方面具有广阔的应用前景 .文章深入讨论了小波变换匹配滤波器的理论基础及光学实现方法 ,并将其用于图形识别 ,给出了计算机模拟结果 ,与传统的匹配滤波器进行了比较 ,证实了小波变换在光学信息处理中的优越性 .

The wavelet transform has acquired growing importance in signal and image processing. We introduce an optical wavelet matched filter that improves the conventional matched filter and can be used for pattern recognition. The wavelet matched filter performs a wavelet transform to enhance significant features of the images and the correlation between two wavelets transforms in a single step. Here we present computer simulation results of this new filter and demonstrate that this new bandpass filter has a much better discrimination capability than the conventional matched filter.