基于双目立视技术的开关电弧图像处理  

Switching Arc Image Processing Based on Binocular Stereo Vision

作　　者：王静红[1,2] 刘教民[1,2] 

机构地区：[1]河北师范大学信息技术学院,石家庄050016 [2]河北工业大学智能电器研究所,天津300130

出　　处：《电工技术学报》2011年第1期86-91,共6页Transactions of China Electrotechnical Society

基　　金：国家自然科学基金(60675014);河北自然科学基金(F2008000204);河北省科技厅(09213504D);河北师范大学(博士L2008B13;L2009Y15)资助项目

摘　　要：提出利用计算机双目立体视觉技术对低压电器开关电弧进行深度信息提取,构建了双目立体视觉电弧图像采集系统物理框架,并对系统硬件实现作了详细论述,采集了开断电弧从燃弧到灭弧整个过程图像。为了把电弧图像有用信息提取出来,使电弧运动图像边缘清晰可辨,在对传统的图像边缘检测技术进行分析比较后,提出了基于支持向量机高斯核的电弧图像边缘检测方法,采用径向基(RBF)核函数,引入拉格郎日(Lagrange)函数分类,构造了一种新的边缘检测模型。实验表明,该方法对电弧弧柱边缘信息检测的同时,降低了噪声的影响,使得电弧图像具有较好的视觉效果。Based on the theory of binocular stereo vision technique,this paper proposes a method,which can acquire deep information from switching arc of low voltage apparatus,build physical frame of binocular stereo vision arc image acquisition system.Moreover it describes the realization of system hardware in detail,and acquires the whole process image from arc starting to arc blowing out.In order to acquire useful information of arc image and make the image edge of arc moving more clear,a new method of arc image edge detection based on support vector machine（SVM） and Gaussian kernel is proposed after analyze and compare the traditional technique.This new method uses radial basis function（also known as the kernel radial basis function） and Lagrange function classification to make a new edge detection model.Experimental results show that this new method not only can detect edge information of arc column,but also decrease the influence of noise,and finally better visual effect of arc image can be gained.

关 键 词：低压电器 开关电弧 双目立体视觉 边缘检测 核函数 

分 类 号：TM501.4[电气工程—电器]