摘要
利用极坐标下Fourier变换的模所具有的旋转不变性以及Mellin变换的模所具有的尺度不变性,经过小波锥分解,提取其高层低频分量作为特征进行模式识别。对于0~9的十个不同旋转角度和尺度大小的160幅图像都能正确的进行识别。
In this paper the Fourier transform and Mellin transform are used to obtain the rotation and scale invariant characteristic parameters. In order to reduce the dimension of the characteristic space, wavelet transform is used on the above characteristic space to ex-tract the compact characteristic templates. The algorithm works well for the test image set with 10 digits including different orientations and scales.
出处
《武汉大学学报(自然科学版)》
CSCD
1994年第6期45-50,共6页
Journal of Wuhan University(Natural Science Edition)
基金
国家自然科学基金资助的课题
关键词
模式识别
小波变换
图像处理
pattern recognition, wavelet transform, image processing