基于光场调控的光学图像相关处理:原理与技术进展

Structured light based optical pattern recognition:Principle and technical progress

光学图像识别以信息处理容量大、运算速度快(基本上接近光速)和高度并行处理能力等特点得到研究人员的广泛关注,在成像、生物医疗、国防军事等领域均具有广阔的应用前景.近年来,随着空间光场调控技术的发展,人们对结构光场的认识愈加深入,使得光学图像识别这一领域焕发出新的生命力.本文从范德·拉格特相关器(Vander Lugt Correlator, VLC)和联合变换相关器(Joint Transform Correlator, JTC)这两大主要光学图像识别相关器的基本原理出发,介绍了光场调控在光学图像相关识别及处理应用中的物理原理与技术进展.从线性光学、非线性光学以及量子光学这三个角度分别介绍不同领域如何通过光场调控实现全光型的光学图像相关处理.

Optical image recognition technology has attracted considerable attention due to its advantages, such as extensive information processing capacity, high-speed calculation, and advanced parallel processing. This technology also has various applications in security systems, remote sensing imaging, biomedical technology, and military scenarios. With the development of structured optical engineering technology, optical image recognition has gained new vitality in recent years. This paper describes two major optical image recognition correlators, the Vander Lugt Correlator and Joint Transform Correlator. We describe the progress of research on optical pattern recognition in the framework of linear optics, nonlinear optics, and quantum correlation. Our study also emphasizes how structured light engineering technologies can be incorporated into all-optical pattern recognition systems to accelerate technological developments.