摘要
设计了针对小型管道内部缺陷检测的螺旋管道机器人系统,基于该机器人系统提出了图像处理的改进算法。首先采用结合中值滤波思想的双边滤波器,解决了双边滤波无法去除孤立噪声点的问题;其次采用了二维最大熵的阈值分割方法进行图像分割;最后根据管道缺陷的特点提取适合分类器分类的代表特征点进行分类。仿真研究表明:所提算法能够更加完整地提取缺陷信息。
A robot system for spiral pipes was designed to detect internal defects in small-size pipes,and the improved algorithm based on the robot system was proposed for image processing. Firstly,having the bilateral filter which combined with median filtering adopted to remove isolated noise points; secondly,having the threshold segmentation method of 2D maximum entropy taken for image segmentation and finally,having the characteristics of pipe defects based to extract their feature points for classification. Simulation results show that the proposed algorithm can extract defects' information more completely.
出处
《化工自动化及仪表》
CAS
2016年第11期1148-1152,1185,共6页
Control and Instruments in Chemical Industry
基金
天津市科技重大专项与工程项目(15ZXZNGX00140)
天津市应用基础与前沿技术研究计划项目(16JCTPJC49400)
关键词
管道探伤
管道机器人
图像处理
双边滤波
二维最大熵
pipeline flaw detection
pipeline robot
image processing
bilateral filtering
2D maximum entropy
