Color Classification for Structured Light of De Bruijn Based on Clustering Analysis

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Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 128))

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Abstract

In this paper, color-coded structured light image based on De Bruijn sequence was adopted, and color identification and classification algorithm for image was deeply studied. A new color classification method based on clustering analysis was proposed. According to the principle of color classification method, the process of algorithm was established and analyzed the influence to color recognition and classification accuracy. The results of experiment showed that color classification method based on clustering analysis could reach about 99% identify rate for color-coded structured light image based on De Bruijn sequence. So the proposed color classification method precision has advantages of high precision and accuracy.

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References

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Correspondence to Cheng Han .

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Han, C., Li, M., Zhang, C., Yang, H. (2012). Color Classification for Structured Light of De Bruijn Based on Clustering Analysis. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25792-6_54

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  • DOI: https://doi.org/10.1007/978-3-642-25792-6_54

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25791-9

  • Online ISBN: 978-3-642-25792-6

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