Representative Color Reference Region Extraction and Color Classification of Vehicles Using the Delaunay Triangulation 


Vol. 42,  No. 12, pp. 2425-2432, Dec.  2017
10.7840/kics.2017.42.12.2425


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  Abstract

In this paper, we propose reliable vehicle color reference area extraction and color classification method based on Delaunay Triangulation. The proposed method detects a representative color in the complex vehicle color information. Saturation of the hood area, two-tone color, logo, and text sticker in vehicle images had difficulties in extracting representative colors. To overcome this problem, the representative color reference region is extracted after the application of the Delaunay triangulation. The histogram inside the rectangular patch defined in the reference region is extracted and this feature is vectorized. Then, the vector is learned and color classification is performed through the multi-class AdaBoost algorithm. In order to verify the proposed method, we experimented with 7 colors black, gray, silver, white, blue, yellow, and red vehicle images. Experimental results show that 96.3% of representative color reference region detection rate and 92.7% of color classification rate respectively.

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  Cite this article

[IEEE Style]

H. Ahn, K. Kim, K. Park, "Representative Color Reference Region Extraction and Color Classification of Vehicles Using the Delaunay Triangulation," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 12, pp. 2425-2432, 2017. DOI: 10.7840/kics.2017.42.12.2425.

[ACM Style]

Ho-yean Ahn, Kwang-ju Kim, and Kil-houm Park. 2017. Representative Color Reference Region Extraction and Color Classification of Vehicles Using the Delaunay Triangulation. The Journal of Korean Institute of Communications and Information Sciences, 42, 12, (2017), 2425-2432. DOI: 10.7840/kics.2017.42.12.2425.

[KICS Style]

Ho-yean Ahn, Kwang-ju Kim, Kil-houm Park, "Representative Color Reference Region Extraction and Color Classification of Vehicles Using the Delaunay Triangulation," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 12, pp. 2425-2432, 12. 2017. (https://doi.org/10.7840/kics.2017.42.12.2425)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880