Computer Science ›› 2018, Vol. 45 ›› Issue (11A): 208-211.

• Pattem Recognition & Image Processing • Previous Articles     Next Articles

Study on Adaptive Hierarchical Clustering De-noising Algorithm of Laser Ranging in Storage of Dangerous Chemicals

LIU Xue-jun1, WEI Yu-chen1, YUAN Bi-xian1,2, LU Hao1,2, DAI Bo1, LI Cui-qing3   

  1. College of Information Engineering,Beijing Institute of Petrochemical Technology,Beijing 102617,China1
    College of Information Science and Technology,Beijing University of Chemical Technology,Beijing 100029,China2
    College of Chemistry Engineering,Beijing Institute of Petrochemical Technology,Beijing 102617,China3
  • Online:2019-02-26 Published:2019-02-26

Abstract: In order to realize the safety early warning of dangerous chemical products,this paper used laser ranging and encoder to monitor the five distance in the warehouse.In order to solve the noise problem of ranging data,a new algorithm was designed for reducing noise and feedback compensation.According to the characteristicing of the noise and the distance,taking the tested object as the center,objects are divided into three categories from far to near.The first layer and the second layer use peak denoising,the third layer uses piecewise fitting angle,simultaneously interlayer feedback error correction is used to realize the closed loop denoising.Experiment results show that the variance is reduced by 0.83 compared with the denoising algorithm.Compared with the comparison algorithm of difference value,this algorithm can removed catastrophie caused by a small amount of noise concentrated and the variance value is decreased by 1.93.The algorithm can remove the noise and restore the position of the object.

Key words: Clustering, Denoising algorithm, Laser ranging, Point cloud, Storage of dangerous chemicals

CLC Number: 

  • TP311.5
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