光学学报, 2001, 21 (2): 167, 网络出版: 2006-08-10
基于光学沃尔什变换特征提取的图像匹配
Using Optical Walsh Transformation for Feature Extraction in Image Matching
沃尔什变换 光计算 非相干光相关器 光电混合系统 特征抽取 Walsh transformation optical computing incoherent correlator hybrid opto-electrical system feature extraction
摘要
采用光电结合的方法实现了沃尔什(Walsh)分量变换,提取出反映图像主要特征的分量,用于大容量图像库的内容匹配查找。基于以非相干光相关器为核心的光电混合图像处理系统,实现了基于光学沃尔什变换特征提取的图像匹配算法。
Abstract
A Novel method is proposed for realizing optical Walsh transformation to extract the most important features in images. The important features can be used in optical image matching of large capacity image library. Based on a hybrid opto-electrical image processing system with an incoherent correlator, the image matching algorithm using optical Walsh transformation is realized successfully.
成罡, 金国藩, 刘海松, 邬敏贤, 何庆生, 严瑛白. 基于光学沃尔什变换特征提取的图像匹配[J]. 光学学报, 2001, 21(2): 167. 成罡, 金国藩, 刘海松, 邬敏贤, 何庆生, 严瑛白. Using Optical Walsh Transformation for Feature Extraction in Image Matching[J]. Acta Optica Sinica, 2001, 21(2): 167.