一種無人機(jī)圖像的鐵塔上鳥巢檢測方法
發(fā)布時間:2018-01-29 13:34
本文關(guān)鍵詞: 無人機(jī)巡檢 鳥巢檢測 鐵塔識別 顏色與紋理融合 出處:《計(jì)算機(jī)工程與應(yīng)用》2017年06期 論文類型:期刊論文
【摘要】:由于鳥巢造成的輸電線路跳閘事件頻頻發(fā)生,已嚴(yán)重威脅到國家電網(wǎng)的安全運(yùn)行,為了降低復(fù)雜背景的影響,提出了一種自動檢測鐵塔上鳥巢的方法,首先識別巡檢圖像上鐵塔所在區(qū)域,考慮到鐵塔是由不同方向的線材構(gòu)成的空間圖像,將巡檢圖像分塊并分析不同方向的線段密度,判決是否屬于鐵塔區(qū)域,將檢測的分塊鐵塔區(qū)域聚類,進(jìn)而識別鐵塔區(qū)域。在鐵塔區(qū)域內(nèi),搜索符合鳥巢樣本的HSV顏色特征量的連通區(qū)域,作為候選的鳥巢區(qū)域,分析候選鳥巢區(qū)域的形狀特征參數(shù),描述鳥巢粗糙度的灰度方差特征量,描述鳥巢紋理的慣性矩特征量,通過對無人機(jī)巡檢采集的輸電線路圖像的測試,驗(yàn)證了這種方法能有效排除背景的干擾,有效檢測出鐵塔上的鳥巢。
[Abstract]:Due to the frequent occurrence of transmission line tripping events caused by Bird's Nest, the safe operation of State Grid has been seriously threatened. In order to reduce the influence of complex background, an automatic detection method of bird's nest on iron tower is proposed. Firstly, the area where the iron tower is located in the inspection image is identified. Considering that the tower is a spatial image composed of wire in different directions, the inspection image is divided into blocks and the line segment density in different directions is analyzed to determine whether the tower belongs to the area of the iron tower. The detected blocks are clustered to identify the tower area. In the tower region, the connected area that accords with the HSV color feature of the bird's nest sample is searched as the candidate bird's nest area. The shape characteristic parameters of candidate bird nest area are analyzed, the grayscale variance characteristic quantity of bird nest roughness is described, and the moment of inertia characteristic quantity of bird nest texture is described. The transmission line image collected by UAV patrol is tested. It is proved that this method can effectively eliminate the interference of background and detect the bird's nest on the iron tower.
【作者單位】: 國網(wǎng)浙江省電力公司檢修分公司;上海大學(xué)通信與信息工程學(xué)院;
【基金】:2014年國家電網(wǎng)發(fā)展項(xiàng)目
【分類號】:TP391.41;TM754
【正文快照】: 隨著我國高壓輸電架空線路的不斷增多和生態(tài)環(huán)境的逐步改善,鳥害事故明顯上升,鳥害造成的損失也明顯增大,對電力系統(tǒng)的安全運(yùn)行構(gòu)成了嚴(yán)重威脅。文獻(xiàn)[1]對國家電網(wǎng)公司所屬輸電線路鳥害故障調(diào)查統(tǒng)計(jì)進(jìn)行分類分析,對引起線路鳥害跳閘的原因進(jìn)行分析研究。鳥類活動引起的線路故
【相似文獻(xiàn)】
相關(guān)期刊論文 前10條
1 宋建中;;噴霧圖像的自動分析[J];光學(xué)機(jī)械;1988年04期
2 涂承媛;曾衍鈞;;醫(yī)學(xué)圖像邊緣快速檢測的模糊集方法[J];北京工業(yè)大學(xué)學(xué)報(bào);2005年06期
3 常君明;馮,
本文編號:1473533
本文鏈接:http://sikaile.net/kejilunwen/ruanjiangongchenglunwen/1473533.html
最近更新
教材專著