复杂光线环境下星载激光光斑图像特征参数提取  

Feature parameter extraction of spaceborne laser spot images in complex light environments

作　　者：王腾[1] 李凯勇 WANG Teng;LI Kaiyong(Yangtze University College of Arts and Sciences,Jingzhou Hubei 434020,China;Qinghai Minzu University,Xining 810007,China)

机构地区：[1]长江大学文理学院,湖北荆州434020 [2]青海民族大学,西宁810007

出　　处：《激光杂志》2024年第9期141-145,共5页Laser Journal

基　　金：青海省重点研发与转化计划项目(No.2022-QY-205)。

摘　　要：星载激光光斑图像易受采集时复杂光线背景的影响,导致激光光斑特征参数提取精度不佳,由此提出复杂光线环境下星载激光光斑图像特征参数提取方法。首先,基于光照校正的Retinex图像增强算法光照补偿及增强星载激光光斑图像,以消除复杂光线环境的影响;其次,基于二次阈值分割与形态学消噪结合方法提取光斑边界;最后,使用一阶灰度重心法与椭圆拟合结合方法完成激光光斑图像特征参数提取。仿真结果表明,所提方法的星载激光光斑图像特征参数提取精度保持在95%以上,具有较好的提取性能。Spaceborne laser spot images are susceptible to the influence of complex light backgrounds during collection,resulting in poor accuracy in extracting laser spot feature parameters.Therefore,a method for extracting feature parameters of spaceborne laser spot images in complex light environments is proposed.Firstly,the Retinex image enhancement algorithm based on illumination correction implements illumination compensation and enhancement processing on the spaceborne laser spot image to eliminate the impact of complex lighting environments;Secondly,based on the combination of secondary threshold segmentation and morphological denoising,the extraction of light spot boundaries is completed;Finally,a combination of first-order grayscale centroid method and ellipse fitting method is used to extract the feature parameters of laser spot images.The simulation results show that the proposed method maintains a feature parameter extraction accuracy of over 95%for spaceborne laser spot images,and has good extraction performance.

关 键 词：光照校正 星载激光光斑图像 Retinex图像增强算法 二次阈值分割 特征参数提取 

分 类 号：TN247[电子电信—物理电子学]