CAJ | 학술논문

在分析红外图象和可视图象差异的基础上,研究了一种适用于可视图象序列的运动小目标检测算法.受目标影响的象素点具有较弱的时间相关性,即相对普通象素点有较大的时间方差,根据此特征,用管道更新的方法产生新方差图象序列,再用管道更新的方法累积,增加信噪比,然后用基于统计均值的自适应门限方法分割出目标,最后将原图象的梯度倒数作为象素点强度的加权,有效地抑制灰度突变边界的传感器噪音,保存目标点.
재분석홍외도상화가시도상차이적기출상,연구료일충괄용우가시도상서렬적운동소목표검측산법.수목표영향적상소점구유교약적시간상관성,즉상대보통상소점유교대적시간방차,근거차특정,용관도경신적방법산생신방차도상서렬,재용관도경신적방법루적,증가신조비,연후용기우통계균치적자괄응문한방법분할출목표,최후장원도상적제도도수작위상소점강도적가권,유효지억제회도돌변변계적전감기조음,보존목표점.
It describes a novel algorithm for detecting impurity-one kind of small target inliquid by analyzing sequences of gray scale images,which is able to detect impurity with full intelligent.It is based on the basic theories of tracking and detection of small target in image sequences and is divided into three main stages:image pre-processing,potential targets extraction and target tracking.Each of them is explained in detail in this paper.In the second stage,a new method of extacting features of small targets in visible image sequences is proposed,which is based on the idea that a pixel that is affected by a point target will have greater temporal intensity variance.By calculating the variance summation sequence,the S/N sensitivity of the algorithm is greatly improved.The technique responds to targets of either polarity.Tests of this system on available database have yielded good results.