光电工程
光電工程
광전공정
OPTO-ELECTRONIC ENGINEERING
2009年
12期
11-15
,共5页
多目标检测%图像融合%分形特征%统计特征
多目標檢測%圖像融閤%分形特徵%統計特徵
다목표검측%도상융합%분형특정%통계특정
multi-target detection%image fusion%fractal feature%statistical feature
针对多目标的检测,本文提出一种采用多源图像分形特征的特征级融合检测方法.首先对多目标检测的特点进行了分析,对分形理论进行了介绍,然后详细介绍了该融合检测算法的思路和原理.该算法首先由红外图像阈值分割出部分目标;然后利用分维数图的统计特征可以增强分形维数的奇异性,在可见光图像的分维数图中搜索与已检测出的目标区域具有相近分形统计特征的区域,进行标记;再根据"距离相似度准则"进行目标的聚类识别,排除背景干扰,最终检测出全部目标.实验结果表明该融合检测算法能有效地进行多目标的检测与识别.
針對多目標的檢測,本文提齣一種採用多源圖像分形特徵的特徵級融閤檢測方法.首先對多目標檢測的特點進行瞭分析,對分形理論進行瞭介紹,然後詳細介紹瞭該融閤檢測算法的思路和原理.該算法首先由紅外圖像閾值分割齣部分目標;然後利用分維數圖的統計特徵可以增彊分形維數的奇異性,在可見光圖像的分維數圖中搜索與已檢測齣的目標區域具有相近分形統計特徵的區域,進行標記;再根據"距離相似度準則"進行目標的聚類識彆,排除揹景榦擾,最終檢測齣全部目標.實驗結果錶明該融閤檢測算法能有效地進行多目標的檢測與識彆.
침대다목표적검측,본문제출일충채용다원도상분형특정적특정급융합검측방법.수선대다목표검측적특점진행료분석,대분형이론진행료개소,연후상세개소료해융합검측산법적사로화원리.해산법수선유홍외도상역치분할출부분목표;연후이용분유수도적통계특정가이증강분형유수적기이성,재가견광도상적분유수도중수색여이검측출적목표구역구유상근분형통계특정적구역,진행표기;재근거"거리상사도준칙"진행목표적취류식별,배제배경간우,최종검측출전부목표.실험결과표명해융합검측산법능유효지진행다목표적검측여식별.
As to the detection of multi-target,a feature-level fusion detection scheme which uses fractal feature of multi-source images is proposed.Firstly,the character of multi-target detection is analyzed,the fractal theory is introduced,and then the theory of fusion detection scheme is introduced in detail.Some targets are segmented in infrared image.Afterwards,using the statistic character can build up irregularity of fractal dimension,and areas are searched and signed in the visible light fractal dimension image,which has close fractal statistic feature to the target area detected.At last,the whole targets are successfully detected after clustering and recognition based on the rule of distance similarity degree.The experimental results show that the fusion detection scheme can detect and recognize target effectively.
