智能电表条形码图像分割与增强算法研究

摘要

In order to solve the key technical problem in the smart meter automatic detection system: automatically positioned the barcode region and identified the barcode information, this paper designed the Wiener filter to image de-nosing, highlighted the barcode region with first derivative Sobel algorithm to achieve the purpose of the barcode area accurate segmentation. For the blurred image taken in real industrial environment, the image enhancement algorithm based on improved lifting wavelet multi-resolution was put forward. The experimental results show that this method is able to accurately locate the barcode, and the enhanced image maintains the texture information of the barcode well, which provides reliable guarantee for the barcode identification.%为了解决智能电表自动化检测系统中的关键技术问题,即在智能电表图像中自动定位条形码区域并识别出条码信息,通过设计维纳滤波器对图像去噪,利用一阶微分Sobel算法突出条形码区域达到精确分割条形码区域的目的.针对在实际工业环境中拍摄的图像模糊不清问题,提出了改进的提升小波的多分辨率图像增强算法.试验结果表明,该处理方法能够精确定位条形码,且增强后的图像能很好地保持条码的纹理信息,为识别条形码提供了可靠保证.