基于图像匹配与特征分析的FPC引导检测算法

基于图像匹配与特征分析的FPC引导检测算法
吴鹃
【期刊名称】《系统仿真技术》
【年(卷),期】2016(012)003
【摘要】为了解决当前FPC定位检测算法在FPC背景复杂的情况下，定位正确率不稳定的问题，本文提出了基于图像匹配与特征分析的FPC视觉引导检测算法。

首先，根据连接盖的灰度特征，计算其归一化灰度协方差，并将其融于图像匹配算法中，以构建匹配度因子。

设计了基于图像匹配的视觉引导检测算子，完成FPC 定位插拔引导和连接盖翻合检测。

然后基于形态学分割出pin目标，提取灰度方差、梯度能量等特征，定义了耦合特征提取与特征分析的检测算子，完成对pin 计数与检测。

实验测试结果显示：与当前定位引导检测技术相比，面对复杂多变的FPC背景，本文算法拥有更高的匹配精度与定位检测正确率。

%In order to solve the problem of low stability of location correct rate under complex FPC background in current FPC positioning check algorithm,the FPC guide inspection system based on image matching and characteristics analysis was proposed in this paper. First of all,the normalized covariance was calculated according to the gray scale characteristics of the connecting cover,and introduced into image matching algorithm to construct the matching degree factor. Visual guide detection operator was designed for finishing FPC positioning plug-pull guide and connection cover detection. Then the gray variance, gradient energy and other features were extracted based on morphological segmentation of pin target,and detection
operator with feature extraction and feature analysis was defined to detect pin count. Experimental results show that,this algorithm has a higher matching accuracy and positioning accuracy under complex and volatile FPC background compared with the current positioning and guiding detection technology.
【总页数】7页(P228-234)
【作者】吴鹃
【作者单位】西安职业技术学院，陕西西安 710077
【正文语种】中文
【中图分类】TP391
【相关文献】
1.基于图像匹配与特征分析的FPC引导检测算法 [J], 吴鹃;
2.基于多特征分析的摔倒检测算法设计 [J], 高苗;朱苏磊
3.基于联合图频谱特征分析的异源图像匹配方法 [J], 宁晨;张丽荷;王鑫
4.基于在线加权慢特征分析的故障检测算法 [J], 黄健;杨旭
5.基于图像匹配的智能拍照引导方法研究 [J], 李庆年
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