【摘要】 在利用条码标尺定位测量的数字水准仪中,标尺条码图像的正确识别是实现水准测量的前提。远视距条码图像模糊严重,在直接利用边缘检测法识别条码失效时,首先对条码图像信号进行复原是必要的。采用正则化信号复原算法,并根据条码信号的特点,构建惩罚项抑制解的高频振荡。实验表明:用本文算法对条码信号复原后再进行识别,实现了视距为62m的正确水准测量,并达到了相当的精度。更多还原

【Abstract】 The correct recognition of bar code image is prerequisite for correct digital leveling with a bar code ruler. It is necessary to recover the badly blurred bar code signal to more ideal one when the stadia is large and the direct edge detection method fails to detect bar code correctly. A regularization bar code signal restoration algorithm is studied into which a penalty term is introduced to suppress the high frequency oscillation of the solution according to the bar code signal characteristics. The experiment shows that the recognition result of recovered bar code signal enables the correct measurement at distance 62m and the measurement results reach properly high precision.更多还原