红外与激光工程
紅外與激光工程
홍외여격광공정
INFRARED AND LASER ENGINEERING
2014年
12期
4105-4110
,共6页
电力机车接触导线%双目视觉技术%光电检测%LOG算子%能量中心
電力機車接觸導線%雙目視覺技術%光電檢測%LOG算子%能量中心
전력궤차접촉도선%쌍목시각기술%광전검측%LOG산자%능량중심
electric locomotive contact wire%binocular vision technology%photoelectric detection%LOG algorithms%energy center
传统的电力机车接触导线几何参数检测方法存在若干不足。根据检测要求和磨损后接触线的图像特征,提出了基于双目视觉技术的在线、非接触、多参数综合测量方法。对基于LOG算子的线条边缘图像处理方法的误差进行了深入的理论分析,在此基础上提出了采用图像能量中心算法的边缘定位新方法,并进行了数值模拟。仿真结果表明:能量中心算法的抗干扰和抗模糊能力更强,定位精度更高。以不同高度、拉出值和磨损宽度的圆钢为检测对象进行了验证实验,并与激光测距仪和数显式游标卡尺检测的结果进行了比对。实验表明,能量中心算法的边缘检测精度优于LOG算法,同时,提出的测量方法示值误差小、重复性较好,能够满足接触线在线、非接触综合检测的需要。
傳統的電力機車接觸導線幾何參數檢測方法存在若榦不足。根據檢測要求和磨損後接觸線的圖像特徵,提齣瞭基于雙目視覺技術的在線、非接觸、多參數綜閤測量方法。對基于LOG算子的線條邊緣圖像處理方法的誤差進行瞭深入的理論分析,在此基礎上提齣瞭採用圖像能量中心算法的邊緣定位新方法,併進行瞭數值模擬。倣真結果錶明:能量中心算法的抗榦擾和抗模糊能力更彊,定位精度更高。以不同高度、拉齣值和磨損寬度的圓鋼為檢測對象進行瞭驗證實驗,併與激光測距儀和數顯式遊標卡呎檢測的結果進行瞭比對。實驗錶明,能量中心算法的邊緣檢測精度優于LOG算法,同時,提齣的測量方法示值誤差小、重複性較好,能夠滿足接觸線在線、非接觸綜閤檢測的需要。
전통적전력궤차접촉도선궤하삼수검측방법존재약간불족。근거검측요구화마손후접촉선적도상특정,제출료기우쌍목시각기술적재선、비접촉、다삼수종합측량방법。대기우LOG산자적선조변연도상처리방법적오차진행료심입적이론분석,재차기출상제출료채용도상능량중심산법적변연정위신방법,병진행료수치모의。방진결과표명:능량중심산법적항간우화항모호능력경강,정위정도경고。이불동고도、랍출치화마손관도적원강위검측대상진행료험증실험,병여격광측거의화수현식유표잡척검측적결과진행료비대。실험표명,능량중심산법적변연검측정도우우LOG산법,동시,제출적측량방법시치오차소、중복성교호,능구만족접촉선재선、비접촉종합검측적수요。
There are certain deficiencies in detection methods on the traditional electric locomotive contact wire geometry parameters. Based on the testing requirements and image characteristics of the worn wire, the integrated measurement method of online, non-contact, multi-parameter was proposed based on binocular vision technology. In-depth theoretical analysis had been conducted on image edge detection based on LOG algorithms, on which new methods of edge location by means of energy center algorithm were proposed, and numerical simulations were conducted. Simulation results show that the algorithm of energy centers has got stronger anti-jamming and anti-blur capabilities, with higher positioning accuracy. Verification experiments are carried out by using round steel with different heights, stagger values and wear widths as the detection object, and it is compared with the results tested by the laser rangefinders and digital display vernier calipers. Experimental results show that the edge detection by means of energy center algorithm is more accurater than LOG algorithms. Simultaneously, the measurement method proposed in this paper has smaller indication errors, better reproducibility, and it can meet the integrated needs of online, non-contact testing on the contact line.