Video-frame-rate millimetre-wave imaging has recently been
demonstrated with a quality similar to that of a low-quality
uncooled thermal imager. In this paper we will discuss initial
investigations into the transfer of image processing algorithms from
more mature imaging modalities to millimetre-wave imagery.
The current aim is to develop body segmentation algorithms for use
in object detection and analysis. However, this requires a variety
of image processing algorithms from different domains, including
image de-noising, segmentation and motion tracking. This paper
focuses on results from the segmentation of a body from the
millimetre-wave images and a qualitative comparison of different
approaches is presented. Their performance is analysed and any
characteristics which enhance or limit their application are
discussed.
While it is possible to apply image processing algorithms developed
for the visible-band directly to millimetre-wave images, the physics
of the image formation process is very different. This paper
discusses the potential for exploiting an understanding of the
physics of image formation in the image segmentation process to
enhance classification of scene components and, thereby, improve
segmentation performance. This paper presents some results from a
millimetre-wave image formation simulator, including synthetic
images with multiple objects in the scene.
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