基于小波边缘提取的目标光学相关识别  

Optical Correlation Recognition Based on Edge Detection of Wavelet Transform

作　　者：洪雪婷[1] 石晓卫[1] 钱义先[1] 

机构地区：[1]浙江师范大学信息光学研究所,浙江金华321004

出　　处：《激光与光电子学进展》2014年第4期112-117,共6页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(61377014);浙江省自然科学基金(LY12F05001)

摘　　要：为提高联合变换相关器对复杂背景图像的识别能力,提出了基于小波变换边缘提取的联合变换相关器。利用具有多尺度分析功能的小波变换工具对联合图像进行边缘检测,所提取的边缘图像能保留更多的细节信息,改善复杂背景下的目标识别能力。计算机模拟和光学实验结果均表明,用小波变换边缘提取的联合图像进行相关识别,能明显增强相关峰的强度,提高目标识别能力。In order to improve the recognition ability of joint transform correlator in complex background, we propose a joint transform correlator based on wavelet transform edge detection. Multi-scale analysis of wavelet is used to detect the joint image edge, so that the edge can keep more details, and the ability of target recognition in complex background can be improved. Computer simulations and optical experimental results show that, our proposed method can enhance the intensity of the correlation peaks and improve the ability of correlation recognition greatly.

关 键 词：图像处理 小波变换 边缘提取 光学相关器 

分 类 号：O436[机械工程—光学工程]