微型机与应用
微型機與應用
미형궤여응용
MICROCOMPUTER & ITS APPLICATIONS
2012年
9期
63-65
,共3页
图像融合%气象卫星DMSP%变分图像融合方法%快速C—V模型
圖像融閤%氣象衛星DMSP%變分圖像融閤方法%快速C—V模型
도상융합%기상위성DMSP%변분도상융합방법%쾌속C—V모형
image fusion%meteorological satellite DMSP%variational fusion model%fast C-V model
首先应用基于变分的图像融合方法对DMSP气象卫星夜间微光云图和红外云图进行融合，在此基础上应用快速C—V模型图像分割方法对图像进行分割，将云分割出来。结果显示，与源图像相比，融合图像中包含了更多的关于云的信息，云体清晰度提高，纹理细致。在此基础上云体分割比较完整，比直接在各通道图像中进行分割的效果优越。
首先應用基于變分的圖像融閤方法對DMSP氣象衛星夜間微光雲圖和紅外雲圖進行融閤，在此基礎上應用快速C—V模型圖像分割方法對圖像進行分割，將雲分割齣來。結果顯示，與源圖像相比，融閤圖像中包含瞭更多的關于雲的信息，雲體清晰度提高，紋理細緻。在此基礎上雲體分割比較完整，比直接在各通道圖像中進行分割的效果優越。
수선응용기우변분적도상융합방법대DMSP기상위성야간미광운도화홍외운도진행융합，재차기출상응용쾌속C—V모형도상분할방법대도상진행분할，장운분할출래。결과현시，여원도상상비，융합도상중포함료경다적관우운적신식，운체청석도제고，문리세치。재차기출상운체분할비교완정，비직접재각통도도상중진행분할적효과우월。
The variational fusion approach was employed in the fusion of meteorological satellite DMSP nighttime visible image and infrared image firstly, then the fast C-V model was applied in the segmentation of cloud based on the fused image. The results showed that the fused image contained more abundant information about the cloud, and the texture of cloud and contrast of cloud were improved after fusion. So, the cloud segmentation was comparatively complete and was better than the segmentation directly in two channel images.
