Noise reduction for images reconstructed by a microwave imaging system

In this paper, we propose to develop a new framework based on incorporating an image-processing algorithm in order to reduce noise affecting the reconstructed images delivered by a microwave imaging system. Mainly, we propose to incorporate a mathematical image-processing algorithm based on dilation and erosion to reconstruct images for several signal-to-noise ratio (SNR) levels. To do so, we have used CST software to simulate received signals from a microwave imaging system. In our study, we consider a breast phantom and a concrete pillar. The reconstruction of images carried out by our microwave imaging system is based on radar technology. The simulation experiments demonstrate an enhancement in the image quality compared to the images delivered directly by the microwave system.