基于结构特征与LLE算法的数字仪表校验系统  

A digital meter calibration system based on structural features and LLE algorithm

作　　者：包玉树 黄亚龙[2] 孙军 胡永建 吴剑[2] BAO Yushu;HUANG Yalong;SUN Jun;HU Yongjian;WU Jian(School of Electrical Engineering,Southeast University,Nanjing 211189,China;Jiangsu Frontier Electric Technology Co.,Ltd.,Nanjing 211102,China;Wuhan Pandian Science&Technology Incorporated Company,Wuhan 430100,China)

机构地区：[1]东南大学电气工程学院,江苏南京211189 [2]江苏方天电力技术有限公司,江苏南京211102 [3]武汉磐电科技股份有限公司,湖北武汉430100

出　　处：《现代电子技术》2018年第24期10-13,17,共5页Modern Electronics Technique

摘　　要：针对数字仪表校验人工读取数据时存在的误差问题,提出一种基于多特征与局部线性嵌入算法(LLE)结合的数字仪表校验方法。首先将字符图像从RGB转换到HSI色彩空间,在I空间对图像进行分割,并利用投影法分割出单个字符;然后对字符图像提取结构特征,由于单纯的结构特征对字符的描述不足,导致识别精度较低,故文中利用LLE算法对字符二值图像降维,将降维后的像素特征与结构特征相结合;最后,利用支持向量机(SVM)对字符特征进行识别。实验结果显示,所提方法提高了校验系统的字符识别率。Since there exist errors in manual reading data during digital meter calibration,a digital meter calibration meth-od based on the combination of multi-features and local linear embedding(LLE)algorithm is proposed.The character images are converted from RGB to HSI color space.Image segmentation is conducted in the I space.The single character is segmented by using the projection method.The structural features of character images are extracted.As the simple structural features cannot sufficiently describe the characters,the recognition accuracy is low.Therefore,the LLE algorithm is used in this paper to re-duce the dimensionality of character binary images.The pixel features after dimensionality reduction and structural features are combined.The support vector machine(SVM)is used to recognize the character features.The experimental results show that the proposed method can improve the character recognition rate of the calibration system.

关 键 词：数字仪表 校验系统 结构特征 LLE算法 图像处理 降维 

分 类 号：TN873.5-34[电子电信—信息与通信工程] TP391[自动化与计算机技术—计算机应用技术]