Abstract

Electrical charge tomography (EChT) is a non-invasive imaging technique that is aimed to reconstruct the image of
material being conveyed based on data measured by electrodynamics sensor installed around the pipe. The method to
ensure the stability and accuracy of the image reconstruction should be applied to obtain a meaningful image
reconstruction results. In this paper, Least square with regularization (LSR) method was introduced to reconstruct the
cross-section image of material in gravity mode conveyor pipeline. Numerical analysis result based on data measured
by sensor indicates that the algorithm is efficient to overcome the numerical instability. Instead of image reconstruction
process, validation of the images is very important. It would be parts of verification process to the new image
reconstruction method. In this system, digital imaging technique was used to interrogate the flow in pipeline around
sensing area using CCD camera. It was found out that there is a good match between LSR method of image
reconstruction and image capture by CCD camera due to the similarity of both images. This study implies that LSR
method produced images that are stable and accurate as well as applicable for industrial use. It is suggested that another
validation process should be conducted using duty ratio, signal to noise ration and structure correlation to validate the
quality of image produced by LSR method.

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