Electrical resistance analysis of material using a colour bar scale in two-dimensional electrical impedance tomography (EIT)

Abstract

Image reconstruction by adding colour bar scale has been implemented in the two-dimensional Electrical Impedance Tomography (EIT) to distinguish the electrical resistance of the material. The EIT technique is performed by injecting a low constant electric current of 1 mA at 20 kHz frequency on a pair of electrodes of 16 copper electrodes (Cu) surrounding a medium filled with saline solution, aluminium, PVC, and PE material. Voltage measurements from the other electrode pair were achieved by the principle of the neighbouring method. The measurement data is processed with the python program using gauss-newton algorithm to obtain a reconstructed image of materials. The results from the reconstructed image show that the higher the colour bar number, the lower the electrical resistance, while the lower the colour bar number, the higher the electrical resistance. The difference in electrical resistance of material can be obtained from analysis of colour bar scale in two-dimensional electrical impedance tomography.