光学子波用于图像处理

Optical-wavelet transform application in image processing

在目标图像的处理中，对图像进行空间子区分割，利用于波函数的局域化和多尺度的特性，对有目标信息的子区进行光学子被函数变换；并对有目标信息子区中的子波函数进行多通道并行处理，避免了繁琐的数学运算，提高了图像处理速度，可快速给出准确的目标特征。文中阐述了一维子波函数光学变换用于图像处理的方法，通过光学方法将图像进行子区分割，并运用子波函数的特性对子区中图像信息进行光学子波变换，通过多路光学通道同时提取图像的边缘信息。本文基于子波变换的理论对光学子波变换的原理进行了详细论述，建立了一套完整的光学子波变换的实验系统，并给出了具有理论依据的实验数据。

The image is divided up several subsegments in space for process of aim. With characteristics of domains and multiresolution of Wavelet function, subsegments which have meassages of aim are processed with Optical-Wavelet Transform and the function of Wavelet Transform which have messages of aim are performed with multicenter at the same time. It avoids the mathematical operation which is heavy and complicated, and the speed of image processing is improved. Objects features are given quickly and accurately. The method that edge of image is extracted by means of one-dimensional Optical-Wavelet Transform is described in this paper. The image is divided up many subsegments by means of optics. On the basis of the characteristic of Wavelet function, the image information is processed by Optic-Wavelet Transform in the subsegment. The edge information of the image is picked up in many optic channels at the same time. On the basis of the theory of Wavelet Transform, the principle of Optic Wavelet Transform is expounded in the paper. A suit of the integrate experimental system of Optic-Wavelet Transform is built, the experimental data with theoretical foundation is given.