摘要
利用行程编码针对背景冗余计算的优化特性与交、并简便运算特点对二值图像形态学膨胀算法进行优化,并提出基于行程编码优化的形态学膨胀算法。利用算法对轨道轮廓二值图像进行形态学膨胀处理;依据优化前后的图像处理结果和速度进行对比分析。该算法能去除边缘毛刺与断线现象;轨道轮廓单帧图像经过优化处理后的速度提高5倍,轨道视觉检测系统的检测精度可提高到20点/m。
This paper optimizes the binary image morphological dilation algorithm by run length encoding with the optimi- zation features in background redundant and intersection and union simple operation, and proposes the run length encoding- morphological dilation optimized algorithm. It processes the track contour binary image in morphological dilation by the optimized algorithm. The compared analysis is based on the image processing result and the speed before and after optimi- zation. The edge burr and disconnection phenomenon can be removed by the optimized algorithm. The processing result of the track contour single frame image increases 5 times, and the detection accuracy of the track visual inspection system can be improved to 20 points per meter.
出处
《计算机工程与应用》
CSCD
北大核心
2015年第19期169-172,共4页
Computer Engineering and Applications
基金
国家自然科学基金(No.60962004)
铁道部科技计划资助项目(No.2010G-014G)
甘肃省科技支撑计划资助项目(No.1104GKCA057)
甘肃省自然科学研究基金计划(No.1308RJZA172)
关键词
行程编码
形态学膨胀
图像处理
视觉检测
轨道
run length encoding
morphological dilation
image processing
visual inspection
track
