Diaz-Ramirez Victor H, Kober Vitaly
Centro de Investigacion y Desarrollo de Tecnologia Digital, Instituto Politecnico Nacional, Avenida del Parque No. 1310, Mesade Otay, Tijuana, B.C., 22510, Mexico.
Appl Opt. 2009 Mar 1;48(7):1408-18. doi: 10.1364/ao.48.001408.
A two-step algorithm for reliable recognition of a target imbedded into a two-dimensional nonuniformly illuminated and noisy scene is presented. The input scene is preprocessed with a space-domain pointwise procedure followed by an optimum correlation. The preprocessing is based on an estimate of the source illumination function, whereas the correlation filter is optimized with respect to the mean-squared-error criterion for detecting a target in the preprocessed scene. Computer simulations are provided and compared with those of various common techniques in terms of recognition performance and tolerance to nonuniform illumination as well as to additive noise. Experimental optodigital results are also provided and discussed.
提出了一种用于可靠识别嵌入二维非均匀光照和噪声场景中的目标的两步算法。输入场景首先通过空域逐点处理进行预处理，然后进行最优相关。预处理基于源光照函数的估计，而相关滤波器则根据均方误差准则进行优化，以检测预处理场景中的目标。提供了计算机模拟，并在识别性能、对非均匀光照以及加性噪声的耐受性方面与各种常用技术进行了比较。还提供并讨论了实验光数字结果。
