CAJ | 학술논문

选用近化学计量比Mg:Fe:LiNbO_3 晶体作为存储器和相关器件,由于其良好的光学均匀性使得系统的散射噪声大量减少,从而显著改善了相关峰的质量.以邻域熵目标检测为基础,提出了一种基于邻域方差增长的相关峰光斑自动定位算法.不仅能够明确的区分边缘纹理和目标,而且定位不受背景亮度的影响.在1000幅的存储容量下,针对1024×768像素大小的相关读出图像,定位时间<3 s,且定位准确,取得了比较满意的识别结果.
선용근화학계량비Mg:Fe:LiNbO_3 정체작위존저기화상관기건,유우기량호적광학균균성사득계통적산사조성대량감소,종이현저개선료상관봉적질량.이린역적목표검측위기출,제출료일충기우린역방차증장적상관봉광반자동정위산법.불부능구명학적구분변연문리화목표,이차정위불수배경량도적영향.재1000폭적존저용량하,침대1024×768상소대소적상관독출도상,정위시간<3 s,차정위준학,취득료비교만의적식별결과.
To increase the quality of correlation peaks, near stoichiometric Mg:Fe:LiNbO_3 crystals is used as memory and correlator due to its better uniformity and optical quality. A correlation peaks allocation algorithm based on neighborhood variance increment is presented, which is on the foundation of neighborhood entropy. This algorithm not only can distinguish target from edge texture, but also is not influenced by background intensity. With 1000 holograms stored, it takes less than 3 s to allocate correlation peaks accurately against correlation output image with 1024×768 pixels, and a satisfied recognition result is also achieved.