Proposal of complex-valued region-based-coupling segmentation neural networks and the application to radar imaging systems

We propose complex-valued region-based-coupling segmentation neural networks that divide complex-amplitude images into regions and attach labels on them. A neurodynamics is obtained by an energy reduction rule in combination with phase-singularity elimination. A millimetre wave radar system is constructed using the network as a preprocessor for image recognition and reconstruction. Experiments demonstrate that the network works as a variable segmentation processor. The relation between network parameters and segmentation functions in the experiments is also reported.