Auto-adaptive edge detection of tank level IR imaging using double-threshold canny operator

Xi Li, Lianshan Lin, Xianhe Shao
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引用次数: 1

Abstract

This paper proposes a new way to detect tank level based on the auto-adaptive double-threshold Canny operator, considering IR imaging of tank level and aiming at the problem of the detection of tank level. The adaptive double-threshold edge detection operator based on Canny criteria can set the threshold level according to different image histogram feature automatically, to avoid the artificial choice threshold inappropriate the edge information loss, in particular, the information of tank level loss. In the process of extract tank level IR imaging information, the number of horizontal stripes automatically is analysed, based on the number of landscape orientation stripes, getting the specific location of each horizontal stripes. The simulation results indicate that edge detection of tank level based on the auto-adaptive double-threshold canny operator apply in detection of tank Level very well.
基于双阈值canny算子的坦克液位红外图像自适应边缘检测
针对油罐液位检测问题,结合油罐液位红外成像,提出了一种基于自适应双阈值Canny算子的油罐液位检测新方法。基于Canny准则的自适应双阈值边缘检测算子可以根据不同的图像直方图特征自动设置阈值水平,避免人为选择阈值不合适导致边缘信息损失,特别是罐位信息损失。在提取槽位红外成像信息的过程中,自动分析水平条纹的数量,根据横向条纹的数量,得到每条水平条纹的具体位置。仿真结果表明,基于自适应双阈值canny算子的罐位边缘检测可以很好地应用于罐位检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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