基于双树复数小波的视觉信息处理模型

The Model of Visual Information Processing Based Dual-Tree Complex wavelet

本文基于双树复数小波变换的多尺度、多方向选择特性,对Jim Mutch提出的视觉信息处理模型进行改进。改进后算法大大提高了运算速度,同时获得的特征向量具有尺度、旋转和平移不变性。最后,利用支持向量基进行分类识别。Cal-tech101人脸数据库的实验结果表明,该方法能够取得较好的分类效果。

This paper advances Jim Mutch＂ s proposed model,based on the multi-size and multi-orientation selecting trait of dualtree complex wavelet translation.It improves the speed,And feature vector,that is size-invariant,rotating invariant and position invafiant, can be obtained.Finally,support vector machine is used to classify.The result of the experiment on Caltech101 face images indicates that the proposed method has good classification performance.