Abstract:
In this paper, a novel colour edge cooccurrence
histogram (CECH) method is proposed to match images by
measuring similarities between their CECH histograms. Unlike
the previous colour edge cooccurrence histogram proposed by
Crandall et al. in [21, we only investigate those pixels which are
located at the two sides of edge points in their gradient direction
lines and at a distance away from the edge points. When
measuring similarities between two CECH histograms, a newly
proposed Gaussian weighted histogram intersection (GWHI)
method is extended for this purpose. Both identical colour
pairs and similar colour pairs are taken into account in our
algorithm, and the weights are decided by the larger distance
between two colour pairs involved in matching. The proposed
algorithm is tested for matching vehicle number plate images
captured under various illumination conditions. Experimental
results demonstrate that the proposed algorithm can be used
to compare images in real-time, and is robust to illumination
variations and insensitive to the model images selected.
