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Style Design and Color Analysis of Cloud Shoulder

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Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1303))

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Abstract

Cloud shoulder is an important part of traditional national costume art, and its color has national characteristics and cultural heritage. This paper proposes an inheritance technology for cloud shoulder color. First of all, with the help of MATLAB, the composition proportion of hue, brightness, and purity of the cloud shoulder is analyzed, and the color characteristics of the cloud shoulder are extracted. Then, in the pattern generation algorithm based on processing, the color feature is used to color the pattern, and the color pattern is applied to all kinds of modern design fields. This helps to analyze the digital generation and inheritance application of patterns based on the proportion of color composition and provides a new method of inheritance and innovative application of traditional clothing from the perspective of technology.

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References

  1. Pan, D.: The symbol of the color of national costume. Res. Natl. Art 2, 36–43 (2002)

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Author information

Authors and Affiliations

  1. Dalian Polytechnic University, Dalian, 116000, China

    Li Wang

Authors
  1. Li Wang
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Correspondence to Li Wang .

Editor information

Editors and Affiliations

  1. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

  2. University of Aizu, Fukushima, Japan

    Neil Yen

  3. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

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© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Wang, L. (2021). Style Design and Color Analysis of Cloud Shoulder. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_234

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  • DOI: https://doi.org/10.1007/978-981-33-4572-0_234

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4573-7

  • Online ISBN: 978-981-33-4572-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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