Acta Optica Sinica, Volume. 41, Issue 6, 0633001(2021)

Measuring Device and Evaluation Method for Metallic Paints Graininess

Kun Yuan1,2、*, Shuanghu Gong1,2, Yang Zhang1,2, Mengdan Qin1,2, Jian Wang2, and Shang Tang2
Author Affiliations
  • 1College of Optical and Electronic Technology, China Jiliang University, Hangzhou, Zhejiang 310018, China
  • 2Hangzhou CHNSpec Technology Co., Ltd., Hangzhou, Zhejiang 310034, China
  • show less

    In order to measure the graininess of metallic paints, a measuring device and evaluation method were developed, the evaluation model of metallic paint graininess effect applied to the measuring device was established. According to different color distributions and particle sizes, 56 metallic paints were selected to construct the sample database. The particle parameters of samples were collected by BYKMac, and visual experiments were performed to verify the accuracy of BYKMac data. The measuring device was designed to obtain sample image information, the existing texture evaluation methods were used to process the image information and the data is compared with the visual experiment data. At the same time, an evaluation method suitable for the device was designed to get the graininess value of the samples. The correlation coefficients between the measurement results and the visual values and BYKMac values were 0.8770 and 0.9329, respectively. Experimental results show that the measuring device and evaluation method can effectively measure and obtain the graininess of metallic paints that meet the perception of human eyes.

    Tools

    Get Citation

    Copy Citation Text

    Kun Yuan, Shuanghu Gong, Yang Zhang, Mengdan Qin, Jian Wang, Shang Tang. Measuring Device and Evaluation Method for Metallic Paints Graininess[J]. Acta Optica Sinica, 2021, 41(6): 0633001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Vision, Color, and Visual Optics

    Received: Sep. 11, 2020

    Accepted: Nov. 11, 2020

    Published Online: Apr. 7, 2021

    The Author Email: Yuan Kun (yuankun@cjlu.edu.cn)

    DOI:10.3788/AOS202141.0633001

    Topics