基于圖像循環(huán)相關(guān)的列車(chē)速度測(cè)試方法
發(fā)布時(shí)間:2019-07-05 15:15
【摘要】:針對(duì)鐵路建筑限界檢測(cè)中列車(chē)速度測(cè)試的要求,提出一種基于雙高頻線(xiàn)陣CCD紅外成像技術(shù)循環(huán)相關(guān)算法速度測(cè)試模型,對(duì)線(xiàn)陣CCD采集的圖像進(jìn)行循環(huán)相關(guān)仿真分析。利用同一時(shí)刻2個(gè)線(xiàn)陣相機(jī)采集的圖像循環(huán)相關(guān)計(jì)算的像素?cái)?shù)除以相機(jī)的軸心距得到每個(gè)像素表征的實(shí)際距離K_0,對(duì)相鄰時(shí)刻同一相機(jī)采集的圖像進(jìn)行循環(huán)相關(guān)計(jì)算得到采樣周期內(nèi)移動(dòng)的像素?cái)?shù)P,K_0與P相乘并除以相機(jī)采樣周期?t得到列車(chē)運(yùn)行速度。在此基礎(chǔ)上,設(shè)計(jì)一套測(cè)速設(shè)備,并在試驗(yàn)車(chē)上進(jìn)行實(shí)驗(yàn)驗(yàn)證。研究結(jié)果表明:去除背景影響后,圖像循環(huán)相關(guān)算法具有較高的精度;實(shí)測(cè)速度變化符合列車(chē)減速規(guī)律;速度計(jì)算誤差為0.007 m/s,能夠滿(mǎn)足限界檢測(cè)的要求。
文內(nèi)圖片:
圖片說(shuō)明:圖1雙高頻線(xiàn)陣CCD紅外成像技術(shù)測(cè)速原理
[Abstract]:In order to meet the requirements of train speed test in railway building boundary detection, a cyclic correlation algorithm speed test model based on double high frequency linear CCD infrared imaging technology is proposed, and the cyclic correlation simulation analysis of linear CCD images is carried out. The actual distance K 鈮,
本文編號(hào):2510615
文內(nèi)圖片:
圖片說(shuō)明:圖1雙高頻線(xiàn)陣CCD紅外成像技術(shù)測(cè)速原理
[Abstract]:In order to meet the requirements of train speed test in railway building boundary detection, a cyclic correlation algorithm speed test model based on double high frequency linear CCD infrared imaging technology is proposed, and the cyclic correlation simulation analysis of linear CCD images is carried out. The actual distance K 鈮,
本文編號(hào):2510615
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