ISSN : 1796-2048
Volume : 2    Issue : 6    Date : November 2007

Image Segmentation using Multi-Coloured Active Illumination
Tze Ki Koh, Nicholas Miles, Steve Morga, and Barrie Hayes-Gill
Page(s): 1-6
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In this paper, the use of active illumination is extended to image segmentation, specifically in the
case of overlapping particles. This work is based on Multi-Flash Imaging (MFI), originally developed
by Mitsubishi Electric Labs, to detect depth discontinuities. Illuminations of different wavelengths are
projected from multiple positions, providing additional information about a scene compared to
conventional segmentation techniques. Shadows are used to identify true object edges. The
identification of nonoccluded particles is made possible by exploiting the fact that shadows are cast
on underlying particles. Implementation issues such as selecting the appropriate colour model and
number of illuminations are discussed. Image segmentation using the proposed method, canny
edge detection and watershed transform are performed on overlapping beach pebbles and granite.
Evaluation results confirm that the proposed method is a successful extension of the original
method and reveals its increased accuracy when compared with conventional segmentation

Index Terms
multi-flash, image segmentation, active illumination, shadows, particle size analysis