Abstract
Color ratio gradient (CRG) is a robust method used for color image retrieval and object recognition. It has been proven to be illumination-independent and geometry-insensitive when tested on scenery images. However, the color ratio gradient produces unsatisfying matching results when dealing with an object which appears rotated by a certain relative angle in the model and target images. In this paper, we adopt the idea of color ratio gradient and develop a new method called Symmetric Color Ratio (SCR) based on a hexagonal image structure, the Spiral Architecture (SA). We focus on license plate images and our aim is to achieve a higher matching rate between the SCR histogram of the images within same class in order to separate different classes of images. Our experimental results demonstrate that the proposed SCR is robust to changes over view angles.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Swain, M.J., Ballard, D.H.: Indexing via color histograms. In: Proceedings of theThird International Conference on Computer Vision 1990, pp. 390–393 (1990)
Swain, M.J., Ballard, D.H.: Color Indexing. International Journal of Computer Vision 7(1), 11–32 (1991)
Funt, B.V., Finlayson, G.D.: Color constant color indexing. IEEE Transactions on Pattern Analysis and Machine Intelligence 17(5), 522–529 (1995)
Nayar, S.K., Bolle, R.M.: Reflectance ratio: A photometric invariant for object recognition. In: Proceedings, Fourth International Conference on Computer Vision, pp. 280–285 (1993)
Gevers, T., Smeulders, W.M.: Color constant ratio gradients for image segmentation and similarity of texture objects. In: Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2001, vol. 1, pp. I-18-I-25 (2001)
Gevers, T.: Image segmentation and similarity of color-texture objects. IEEE Transactions on Multimedia 4(4), 509–516 (2002)
Sheridan, P.: Spiral Architecture for machine vision, PhD Thesis, University of Technology, Sydney (1996)
He, X., Jia, W.: Hexagonal Structure for Intelligent Vision. In: Proceedings of the 1st International Conference on Information and Communication Technology (ICICT 2005), August 2005. IEEE, Karachi (2005)
Wu, Q., He, X., Hintz, T.: Virtual Spiral Architecture. In: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, vol. 1, pp. 399–405 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jia, W., Zhang, H., He, X., Wu, Q. (2006). Symmetric Color Ratio in Spiral Architecture. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3852. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612704_21
Download citation
DOI: https://doi.org/10.1007/11612704_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31244-4
Online ISBN: 978-3-540-32432-4
eBook Packages: Computer ScienceComputer Science (R0)