用于计量仪表数据采集的图像降噪方法对比

Comparison of Image Noise Reduction Methods for Measurement Data Extraction

传统计量仪器仪表数据采集存在效率低等问题,因此利用机器视觉技术自动化数据采集,自动校正已经成为了一个非常有应用前景的课题。为了更好地进行目标识别和仪表数据采集,本文对基本的图像噪声以及降噪方法进行了分析与对比,实验结果将有助于提升具体情景下的仪表图像识别效果。

Measurement data extraction of traditional measuring instruments and meters is not efficient enough.Therefore,automatic data collection with the machine vision technology becomes an ongoing topic.To achieve better results of target recognition and data extraction,this paper introduces the basic image noise reduction methods and compares the results using fingerprints images.The results will contribute to improve image recognition of measurement data in actual situations.