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Application of sensor-based image optical processing in the vision system of tea ware glaze design

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Abstract

Tea glaze design is a complex and artistic work, and traditional design methods often rely on the subjective experience and feelings of designers. With the development of optical technology, sensor and image processing technology can provide more accurate and objective data analysis methods, thereby improving the quality and efficiency of tea glaze design. This paper aims to explore the application of sensor-based image optical processing in tea glaze design vision system, and build a tea glaze design vision system by using appropriate optical sensors and image processing algorithms. The system can obtain real-time image data of tea ware surface and transform it into analyzable features by optical processing method. Then these features are compared and analyzed with the preset design requirements, so as to evaluate whether the tea glaze design meets the requirements. The results show that the system can provide accurate image data and feature analysis results, which can improve the quality and efficiency of tea ware glaze design, reduce the influence of subjective factors, and provide more accurate and objective design reference for designers.

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Authors and Affiliations

  1. School of Design and Art, Shanghai Dianji University, Shanghai, 200240, China

    Haoqi Hu

  2. College of the Arts, Hebei Agricultural University, Baoding, 071000, Hebei, China

    Meng Fu

  3. College Landscape Architecture and Tourism, Hebei Agricultural University, Baoding, 071000, Hebei, China

    Fan Wang

Authors
  1. Haoqi Hu
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  2. Meng Fu
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  3. Fan Wang
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Contributions

HH has done the first version, MF and FW has done the simulations. All authors have contributed to the paper’s analysis, discussion, writing, and revision.

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Correspondence to Haoqi Hu.

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Hu, H., Fu, M. & Wang, F. Application of sensor-based image optical processing in the vision system of tea ware glaze design. Opt Quant Electron 56, 242 (2024). https://doi.org/10.1007/s11082-023-05785-7

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  • DOI: https://doi.org/10.1007/s11082-023-05785-7

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