关键词:
无人机巡检, 鸟巢检测, 铁塔识别, 颜色与纹理融合

Abstract: The event of tripping operation caused by bird’s nest in transmission line becomes a serious threat to the national grid. An automatic detection method of bird’s nest is proposed. For the area of tower in image composed of wire rod in different directions, the density of different directions line segments in per portioned block is regarded as the judgment for identifying the area of tower in UAV image. The detected subblock region is clustered, and then the tower area is identified. The connected region matching the HSV of the sample nest is searched and selected as the candidate of the nest area. And then characteristic parameters of shape and characteristic quantities of the intensity variance of roughness and characteristic quantities of the inertia matrix of texture in candidates are analyzed. Tested images from UAV verify that the method can identify nests effectively from tower with the interference of background removed.

Key words: UAV inspection, nest detection, tower identification, color and texture blending