TY - GEN
T1 - Image matching using colour edge cooccurrence histograms
AU - Jia, Wenjing
AU - Zhang, Huaifeng
AU - He, Xiangjian
AU - Wu, Qiang
PY - 2006
Y1 - 2006
N2 - 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 [2], 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.
AB - 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 [2], 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.
UR - http://www.scopus.com/inward/record.url?scp=34548139425&partnerID=8YFLogxK
U2 - 10.1109/ICSMC.2006.385225
DO - 10.1109/ICSMC.2006.385225
M3 - Conference contribution
AN - SCOPUS:34548139425
SN - 1424401003
SN - 9781424401000
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 2413
EP - 2419
BT - 2006 IEEE International Conference on Systems, Man and Cybernetics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2006 IEEE International Conference on Systems, Man and Cybernetics
Y2 - 8 October 2006 through 11 October 2006
ER -