光电工程
光電工程
광전공정
OPTO-ELECTRONIC ENGINEERING
2015年
4期
75-80
,共6页
牛涛%杨风暴%王志社%王肖霞
牛濤%楊風暴%王誌社%王肖霞
우도%양풍폭%왕지사%왕초하
红外偏振%双模态%集值映射%差异特征
紅外偏振%雙模態%集值映射%差異特徵
홍외편진%쌍모태%집치영사%차이특정
infrared polarization%dual-mode%set-valued mapping%difference characteristics
针对现有融合算法在处理红外偏振和光强两种模态图像时无法随着差异特征的不同而变化的问题,提出了一种双模态红外图像的集值映射融合方法。以多组红外偏振和光强图像为训练样本,根据底层特征的融合算法的类型分别建立差异特征类集和融合算法类集;构造各个差异特征对应各融合算法的融合有效度分布;通过多组图像融合有效度分布的均值聚合,建立全局图像的差异特征与融合算法的集值映射关系;提取被融合图像的差异特征,根据集值映射选择相应算法,通过各算法的组合得到融合结果。实验表明,该融合方法可以优化选择融合算法,将互补性强的差异特征有效融合。
針對現有融閤算法在處理紅外偏振和光彊兩種模態圖像時無法隨著差異特徵的不同而變化的問題,提齣瞭一種雙模態紅外圖像的集值映射融閤方法。以多組紅外偏振和光彊圖像為訓練樣本,根據底層特徵的融閤算法的類型分彆建立差異特徵類集和融閤算法類集;構造各箇差異特徵對應各融閤算法的融閤有效度分佈;通過多組圖像融閤有效度分佈的均值聚閤,建立全跼圖像的差異特徵與融閤算法的集值映射關繫;提取被融閤圖像的差異特徵,根據集值映射選擇相應算法,通過各算法的組閤得到融閤結果。實驗錶明,該融閤方法可以優化選擇融閤算法,將互補性彊的差異特徵有效融閤。
침대현유융합산법재처리홍외편진화광강량충모태도상시무법수착차이특정적불동이변화적문제,제출료일충쌍모태홍외도상적집치영사융합방법。이다조홍외편진화광강도상위훈련양본,근거저층특정적융합산법적류형분별건립차이특정류집화융합산법류집;구조각개차이특정대응각융합산법적융합유효도분포;통과다조도상융합유효도분포적균치취합,건립전국도상적차이특정여융합산법적집치영사관계;제취피융합도상적차이특정,근거집치영사선택상응산법,통과각산법적조합득도융합결과。실험표명,해융합방법가이우화선택융합산법,장호보성강적차이특정유효융합。
To solve the problem that fusion algorithm is not optimal selection along with the change of difference characteristics when dealing with infrared polarization and infrared intensity of dual-mode image, a method of set-valued mapping fusion is presented. Multi-group of polarization and intensity of infrared images as training samples, different classification of low-level features and fusion algorithms are used to construct difference characteristics class set and fusion algorithm class set. Fusion effective measure distribution of each characteristic corresponding to fusion algorithms is constructed. Mean aggregating for multi-group images fusion effective measure distributions in order to establish the set-valued mapping relationship between difference characteristics and fusion algorithms of the global image. Difference characteristics of test images are extracted. Pick out corresponding algorithms according to the set-valued mapping. Then, get the fusion result by the combination of the algorithms. Experimental results show that the fusion method can select the optimal fusion algorithm, and have the highly complementary characteristics fused effectively.