Paper Info
Title
Refined Gaussian Weighted Histogram Intersection and Its Application in Number Plate Categorization
Abstract
This paper proposes a refined Gaussian weighted histogram intersection for content-based image matching and applies the method for number plate categorization. Number plate images are classified into two groups based on their colour similarities with the model image of each group. The similarities of images are measured by the matching rates between their colour histograms. Histogram intersection (HI) is used to calculate the matching rates of histograms. Since the conventional histogram intersection algorithm is strictly based on the matching between bins of identical colours, the final matching rate could easily be affected by colour variation caused by various environment changes. In our recent paper [9], a Gaussian weighted histogram intersection (GWHI) algorithm has been proposed to facilitate the histogram matching via taking into account matching of both identical colours and similar colours. The weight is determined by the distance between two colours. When applied to number plate categorization, the GWHI algorithm demonstrates to be more robust to colour variations and produces a classification with much lower intra-class distance and much higher interclass distance than previous HI algorithms. However, the processing speed of this GWHI method is still not satisfying. In this paper, the GWHI method is further refined, where a colour quantization method is utilized to reduce the number of colours without introducing apparent perceptual colour distortion. New experimental results demonstrate that using the refined GWHI method, image categorization can be done more efficiently.
Year
DOI
Venue
2006
10.1109/CGIV.2006.76
CGIV
Keywords
Field
DocType
colour quantization method,identical colour,number plate categorization,final matching rate,gwhi method,matching rate,colour histogram,refined gaussian weighted histogram,apparent perceptual colour distortion,histogram matching,content-based image matching,gaussian processes,histograms,lighting,computer vision,object recognition,robustness,application software,image classification,indexing,quantization,helium,satisfiability,intersection
Histogram,Pattern recognition,Histogram matching,Robustness (computer science),Gaussian,Gaussian process,Artificial intelligence,Contextual image classification,Quantization (signal processing),Distortion,Mathematics
Conference
ISBN
Citations 
PageRank 
0-7695-2606-3
4
0.47
References 
Authors
7
4
Name
Order
Citations
PageRank
Wenjing Jia132545.08
Huaifeng Zhang224018.84
Xiangjian He3932132.03
Qiang Wu453454.06