海上远景小目标检测方法的研究  

Detection Method of Long-range Small Object at Sea

作　　者：蒋永馨[1] 袁群哲[1] 邵承永[1] 叶喜勇[1] 徐晓刚[1] 

机构地区：[1]海军大连舰艇学院装备系统与自动化系,辽宁大连116018

出　　处：《光电工程》2011年第10期46-50,56,共6页Opto-Electronic Engineering

基　　金：国家自然科学基金资助项目(60975016);国家自然科学基金资助项目(61002052);2011年海军大连舰艇学院科研基金资助项目;2011年海军大连舰艇学院重点科研基金资助项目

摘　　要：海水本身运动的复杂性以及海水与其它环境因素所产生的干扰物理场,往往使得海上小目标的探测尤为困难。因此,以可见光图像序列中海面小目标检测为研究对象,提出了核函数-马尔科夫随机场(Markov Random Fields,MRF)前景分割模型。该模型利用所提出的邻域相关核函数背景模型对图像序列的求解结果作为MRF的观测值,建立了用于海上小目标检测的MRF模型,进一步增强了空间相关信息,克服了多高斯模型的缺点,具有较强的海面小目标检测能力,对海浪噪声抑制效果明显。It is very difficult to detect the small target over water in the marine environment because of the complexity of the water movement and the physical field produced by the water interacted with environment.So we mainly studied foreground segmentation for small target in visual image based on Markov Random Fields （MRF）.A foreground segmentation method was proposed based on kernel function and MRF.In this method,the special and temporal correlation is used in the kernel function between neighbor pixels.We took the probability distribution of the kernel function method as the observed value of the MRF and get the energy function of the MRF.Results show that our method is applicable to low speed small target segmentation in sea image.

关 键 词：目标检测 视频序列 马尔可夫随机场 核函数 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]