.png){kind=icon}
返回
An optimization method of planar array capacitance imaging
.png){kind=icon}
PRE
AI
DOI：10.1016/j.sna.2021.112724.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Planar array capacitance imaging technology is a kind of nondestructive testing technology applied to defect detection of composite materials. In the imaging process, the image quality is often poor due to the environment noise and the ill-posed of inverse problem solving. In this paper, an image reconstruction optimization method is proposed. Based on the analysis of the sensitive region of a single pair of electrodes and the contribution of capacitance value to each solution unit, an optimization matrix which is calculated by adjusting the contribution coefficient of each capacitance value to different solution units is proposed to optimize the sensitive field. Finally, simulation and experiment results are presented to show the effectiveness of the proposed method. Through the average relative error of each pixel of the reconstructed image before and after optimization, it can be seen that the error of reconstructed images at two different positions are reduced by an average of 3.22 % and 1.62 % respectively, while verified this method can effectively improve the reconstructed image and improve the anti-noise ability of the image. (c) 2021 Elsevier B.V. All rights reserved.
Keyword:
Anti-noise optimization matrix
Image reconstruction
Nondestructive testing
Planar array capacitance sensor
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.9
论文数:
1.6W
被引数:
3.3W
机构
引用论文
Robust dynamic inversion algorithm for the visualization in electrical capacitance tomography.png)
MEASUREMENT
MEASUREMENTIF5.6
PREAI
分享收藏Design principles for multicuhannel fringing electric field sensors多通道边缘电场传感器的设计原则IEEE SENSORS JOURNAL
IEEE SENSORS JOURNALIF4.5
PREAI
分享收藏
Automatic Parameter Selection of Image Reconstruction Algorithms for Planar Array Capacitive ImagingIEEE SENSORS JOURNAL
OAAI
IEEE SENSORS JOURNALIF4.5
OAAI分享收藏
查看更多内容