摘要
同面阵列电极敏感场的非线性特性导致图像重建过程存在严重的不适定性,为提高同面3×4阵列电容成像系统的成像质量与稳定性,提出了一种数据降维并结合平方增敏的方法对敏感场进行优化。该方法依据最大熵原理实现敏感场的自适应降维寻优,重构得到的特征敏感场与实际敏感场具有更高的特征匹配度。另外,平方化的增敏方式可以增强敏感场特征数据与和非特征数据的对比度,同时还可以减弱敏感场矢量求解造成的特征边缘波动性。最后通过同面3×4阵列电容成像系统,设计了多组实验对所提优化方法的有效性进行验证,结果表明敏感场优化后的重建图像质量与稳定性明显提高。
In order to improve the imaging quality and stability of the coplanar 3×4 array capacitive imaging system,a method of data dimensionality reduction combined with square sensitivity enhancement is proposed to optimize the sensitive field.The method is based on the principle of maximum entropy to realize the adaptive dimensionality reduction and optimization of the sensitive field,and the reconstructed feature sensitive field has higher feature matching with the actual sensitive field.In addition,the squared sensitivity enhancement method can enhance the contrast between the sensitive field feature data and the non-feature data,and can also attenuate the feature edge volatility caused by the sensitive field vector solution.Finally,the effectiveness of the proposed optimization method is verified by designing several sets of experiments with a coplanar 3×4 array capacitive imaging system,and the results show that the quality and stability of the reconstructed images are significantly improved after the sensitive field optimization.
作者
温银堂
王凯
张玉燕
宗乐文
潘钊
WEN Yingtang;WANG Kai;ZHANG Yuyan;ZONG Lewen;PAN Zhao(School of Electrical engineering,Yanshan University,Qinhuangdao,Hebei 066004,China)
出处
《计量学报》
CSCD
北大核心
2024年第2期222-230,共9页
Acta Metrologica Sinica
基金
河北省自然科学基金(F2021203024)
河北省科技计划(216Z1704G)。
关键词
无损检测
电容成像
同面阵列电容
敏感场
图像重建
non-destructive testing
electric capacitance imaging
coplanar array capacitance
sensitive field
image reconstruction
