基于多变量鉴别分析的光学畸变不变性图像识别

提出一种基于鉴别分析的光学畸变不变性图像识别方法：对包含各种畸变的训练图像集采用主成分分析得到若干本征图像，作为参考模式与测试图像做光学相关，利用本民输入图像的相关结果作为识别特征，采用最佳鉴别分析做了训练和识别，即可实现对输入图像的畸变为性快速识别。采用非相干光相关器为光学实现硬件，给出了实验结果。

Optical Distortion-Invariant Image Recognition Based on the Multivariated Discriminant Analysis

An optical distortion invariant image recognition method based on the multivariated statistical analysis is presented. In this approach, a set of eigenimages is first extracted from a large number of training images including various distortions by using the principal component analysis and then are used as the reference patterns to be optical correlated with the testing input image. The optical correlation results between the input image and the set of eigenimges construct a feature space, on which the discriminant analysis is performed during the training and classification process. Then the distortion invariant recognition to the input image can be implemented quickly. The optical experimental results implemented on an incoherent optical correlator are given.