基于生物视觉center-surround机制的光团目标检测与跟踪  

Detection and tracking of light blobs based on center-surround mechanism of biological vision

作　　者：李由[1] 张恒[1] 雷志辉[1] 

机构地区：[1]国防科技大学航天与材料工程学院,湖南长沙410073

出　　处：《应用光学》2008年第2期283-288,共6页Journal of Applied Optics

摘　　要：基于生物视觉的center-surround机制,提出一种用改进的LoG(Laplacian of Gaussian)算子检测光团目标的方法。首先明确了光团目标的成像模型,分析了LoG算子的性质及其响应,接着提出了归一化的LoG算子。理论上指出该算子可用于检测光团目标。仿真和实验证明:该算子可以用于检测图像中已知大小和未知大小的光团目标,并且实用性优于其他常规方法。结合Kalman滤波和粒子滤波,该算子还可以用于序列图像中单目标和刚体的跟踪。理论推导和实验结果表明,该方法是稳健和高效的。Based on the center-surround mechanism of biological vision,a method which uses an improved LoG（Laplacian of Gaussian） operator to detect light blobs is proposed.First of all,the imaging model of light blob targets was established.The properties of LoG operators and their response to image were analyzed and a normalized LoG operator was proposed.The normalized LoG operators can be used to detect light blobs according to theoretical deduction.Simulation and test show that the proposed operator is effective in detecting size-known and size-unknown blobs in an image.The proposed operator can also be used to track single target and rigid-body in image sequence if combined with Kalman filter or particle filter.This method is proven to be robust and effective.

关 键 词：光团目标 生物视觉 center-surround机制 LOG算子 

分 类 号：TN911.73[电子电信—通信与信息系统] TP391.41[电子电信—信息与通信工程]