[1]谢钢,林茂松,代彦辉..智能电表条形码图像分割与增强算法研究[J].郑州大学学报(工学版),2012,33(06):19-22,58.[doi:10.3969/j.issn.1671-6833.2012.06.005]
　XIE Gang,LIN Maosong,DAI Yanhui.The Research on the Smart Meter Barcode Image Segmentationand Enhancement Algorithm[J].Journal of Zhengzhou University (Engineering Science),2012,33(06):19-22,58.[doi:10.3969/j.issn.1671-6833.2012.06.005]
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智能电表条形码图像分割与增强算法研究()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
33
期数:
2012年06期
页码:
19-22,58
栏目:
出版日期:
2012-11-10

文章信息/Info

Title:
The Research on the Smart Meter Barcode Image Segmentationand Enhancement Algorithm
作者:
谢钢; 林茂松; 代彦辉.
西南科技大学 信息工程学院,四川绵阳,621010, 西南科技大学 信息工程学院,四川绵阳,621010, 西南科技大学 信息工程学院,四川绵阳,621010
Author(s):
XIE Gang; LIN Maosong; DAI Yanhui
School of Information Engineering, Southwest University of Seienee and Technology, Mianyang 621010, China
关键词:
维纳滤波;  Sobel算子;  提升小波;  多分辨率
Keywords:
Wiener filter;  Sobel operator;  lifting wavelet;  multi-resolution
分类号:
TP391.4
DOI:
10.3969/j.issn.1671-6833.2012.06.005
摘要:
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.
Abstract:
In order to solve the key technical problem in the smart meter automatie detection system: automati.cally positioned the barcode region and identified the barcode information, this paper designed the Wiener fil.ter to image de-nosing, highlighted the barcode region with first derivative Sobel algorithm to achieve the pur.pose 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 loeate the barcode, and the enhanced imagemaintains the texture information of the barcode well, which provides reliable guarantee for the barcode identi.fication.
更新日期/Last Update: 1900-01-01