Abstract: Coplanar capacitance imaging is a detection technique based on the sensitive field mechanism, which can display 2D or 3D medium distribution images in real time. In order to achieve the visual detection of adhesive deffects in aeronautical insulating composites, a imaging algorithm based on Kalman filter is proposesd based on the analysis of of uniplanar capacitance imaging model and image reconstruction principle, and the optimal estimate is achieved by adjusting the degree of dependence on the estimated and measured capacitance values continuously. The validity and feasibility of the proposed algorithm are verified through experiment. Compared with traditional imaging algorithm, the proposed image reconstruction algorithm greatly improves the image reconstruction precision of adhesive defect. Key

Key words: apparatusandinstrumentstechnology, coplanarcapacitanceimaging, adhesivelayerdefectdetection, bondingquality, insulatingcomposite, iterativealgorithm