在空中打擊中，河流上的橋梁作為主要的交通樞紐成為導彈重要的攻擊目標。本文算
法使用高斯拉普拉斯算子和方向統計直方圖的方法檢測得到河流、公路和橋梁上的興趣點和興趣點主方向，興趣點沿主方向生長得到河流、公路和橋梁等目標區域。然后根據興趣點的主方向對河流、公路和橋梁區域進行邊緣檢測，進一步分割出河流、公路和橋梁的邊緣像素與主干像素。考察主干像素判斷是否有較為寬闊的河流存在，如果存在河流則對比邊緣像素和主干像素從中分割出橋梁并確定橋梁位置。上述算法能夠有效地從航拍圖像中識別有一定寬度的河流，并能準確地檢測出橋梁的存在和位置。
關鍵詞：圖像處理；圖像分割；興趣點；主方向；河流提取；橋梁檢測
Abstract: At long range air assault with missiles, the bridges as important traffic hubs are principal military target. The algorithm to extract bridges firstly detects the interest points and their main directions of aerial image by direction scanning and LOG detector and the roads, rivers and bridges are roughly recognized. And then according to main directions of interest points the algorithm divides to the edges and trunks of the roads, rivers and bridges. The algorithm detect if the broad rivers and the bridges exist. If exist, the bridges are extracted and theirs place are exactly located by comparing edges image and trunks image. The algorithm has highly veracity and reliability. Interest Points
Key Words: image processing; image division; interest points; main direction; bridge
extraction; bridges detection