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A color normalization algorithm for image indexing

  • Session T2A: Color Vision I
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Computer Vision — ACCV'98 (ACCV 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1351))

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Abstract

In this paper, a color normalization algorithm is proposed to compensate the difference of illumination between two images, which could be used for pre-processing, i. e., color constancy step in a histogram-based indexing algorithm. Unlike traditional color constancy algorithms, we attempt to transform the query image, so that the lighting condition is adjusted to be same with the reference image. The proposed algorithm assumes the Maloney and Wandel's reflectance model [6], and normalizes the magnitude of color components of input image. Experiments are carried out to evaluate the proposed algorithm. In the experiments, it is shown that the transformed lighting condition is almost same as the reference image in the color histogram domain. In addition, it is also shown that the performance of Swain's color indexing can be enhanced by combining the proposed algorithm.

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References

  1. W. Niblack, R. Berber, W. Equitz, M. Flickner, E. Glasman, D. Petkovic, and P. Yanker, “The QBIC project: Querying images by content using color, texture, and shape,” SPIE 1908, Storage and Retrieval for Images and Video Dbases, Feb. 1993

    Google Scholar 

  2. M. J. Swain and D. H. Ballard, “Color indexing,” International Journal of Computer Vision, vol. 7, no. 1, pp. 11–32, Nov. 1991.

    Google Scholar 

  3. B. Funt and G. Finlayson, “Color constant color indexing,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 17, no. 5, pp. 522–529, May 1995.

    Google Scholar 

  4. G. Finlayson, M. Drew, and B. Funt, “Spectral sharpening: sensor transformations for improved color constancy,” Journal of Optical Society of America A,vol. 11, no. 5, pp. 1553–1563, May 1994.

    Google Scholar 

  5. G. Healey and D. Slater, “Global color constancy: recognition of objects by use of illumination-invariant properties of color distributions,” Journal of Optical Society of America A,vol. 11, no. 11, pp 3003–3010, Nov. 1994.

    Google Scholar 

  6. L. T. Maloney and B. A. Wandell, “Color constancy: a method for recovering surface spectral reflectance,” Journal of Optical Society of America A,vol. 3, no. 1, pp 29–33, Jan. 1986.

    Google Scholar 

  7. B. A. Wandell, “The synthesis and analysis of color images,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 9, no. 1, pp. 2–13, Jan. 1987.

    Google Scholar 

  8. D. Slater and G. Healey, “The illumination-invariant recognition of 3D objects using local color invariants,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 18, no. 2, pp206–210, Feb. 1996.

    Google Scholar 

  9. G. Healey and D. Slater, “Computing Illumination-invariant Descriptors of Spatially Filtered Color Image Regions,” IEEE Ran. on Image Processing, vol. 6, no. 7, pp. 1002–1013, July 1997.

    Google Scholar 

  10. D. J. Jobson, Z. Rahman, and G. A. Woodell, “A Multiscale Retinex for Bridging the Gab Between Color Images and the Human Observation of Scenes,” IEEE Tran. on Image Processing, vol. 6, no. 7, pp. 965–976, July 1997.

    Google Scholar 

  11. I. K. Park, I. D. Yun, and S. U. Lee, “Models and algorithms for efficient color image indexing,” Proceedings of IEEE Workshop on Content-based Access of Image and Video Libraries, pp. 36–41, San Juan, PR, June 1997.

    Google Scholar 

  12. W. K. Pratt, Digital Image Processing, John Wiley & Sons, 1991.

    Google Scholar 

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Roland Chin Ting-Chuen Pong

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© 1997 Springer-Verlag Berlin Heidelberg

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Park, I.K., Yun, I.D., Lee, S.U. (1997). A color normalization algorithm for image indexing. In: Chin, R., Pong, TC. (eds) Computer Vision — ACCV'98. ACCV 1998. Lecture Notes in Computer Science, vol 1351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63930-6_109

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  • DOI: https://doi.org/10.1007/3-540-63930-6_109

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63930-5

  • Online ISBN: 978-3-540-69669-8

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