• Acta Optica Sinica
  • Vol. 41, Issue 6, 0633001 (2021)
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
    DOI: 10.3788/AOS202141.0633001 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    References

    [1] McCamy C S. Observation and measurement of the appearance of metallic materials. Part II. Micro appearance[J]. Color Research & Application, 23, 362-373(1998).

    [2] Kirchner E. Kieboom G J V D, Njo L, et al. Observation of visual texture of metallic and pearlescent materials[J]. Color Research & Application, 32, 256-266(2007).

    [3] Huang Z N, Xu H S, Luo M R. Camera-based model to predict the total difference between effect coatings under directional illumination[J]. Chinese Optics Letters, 9, 093301(2011).

    [4] Ferrero A, Campos J, Rabal A M et al. A single analytical model for sparkle and graininess patterns in texture of effect coatings[J]. Optics Express, 21, 26812-26819(2013).

    [5] Wu M T. Total appearance assessment based on samples with metallic coatings[D]. Hangzhou: Zhejiang University, 24-80(2016).

    [6] Feng H. Texture and multi-angle color assessment of samples with metallic coatings[D]. Hangzhou: Zhejiang University, 25-67(2018).

    [7] National Technical Committee of Color Standardization,(2009).

    [8] Gómez O, Perales E, Chorro E et al. Visual and instrumental correlation of sparkle by the magnitude estimation method[J]. Applied Optics, 55, 6458-6463(2016).

    [9] Sarkar N, Chaudhuri B B. An efficient differential box-counting approach to compute fractal dimension of image[J]. IEEE Transactions on Systems, Man, and Cybernetics, 24, 115-120(1994).

    [10] Shanmugavadivu P, Sivakumar V. Fractal dimension based texture analysis of digital images[J]. Procedia Engineering, 38, 2981-2986(2012). http://www.sciencedirect.com/science/article/pii/S1877705812022618

    [11] Nayak S R, Mishra J. On calculation of fractal dimension of color images[J]. International Journal of Image, Graphics and Signal Processing, 9, 33-40(2017). http://dl.acm.org/citation.cfm?id=376825

    [12] Zhang X, Cui J T, Wang W S et al. A study for texture feature extraction of high-resolution satellite images based on a direction measure and gray level Co-occurrence matrix fusion algorithm[J]. Sensors, 17, 1474(2017). http://www.ncbi.nlm.nih.gov/pubmed/28640181

    [13] Chen Y[J]. Yang F Y. Analysis of image texture features based on gray level co-occurrence matrix. Applied Mechanics, Materials, 204/205/206/207/208, 4746-4750(2012).

    [14] LiuQ, Liu XP, Zhang LJ, et al., 2012, 605/606/607: 2240- 2244.

    [15] Sulochana S, Vidhya R. Texture based image retrieval using framelet transform-gray level co-occurrence matrix(GLCM)[J]. International Journal of Advanced Research in Artificial Intelligence, 2, 68-73(2013). http://www.researchgate.net/publication/326057801_Texture_Based_Image_Retrieval_Using_Framelet_Transform-Gray_Level_Co-occurrence_Matrix_GLCM

    [16] Liu L Y[J]. Fan X J. The design of system to texture feature analysis based on gray level co-occurrence matrix. Applied Mechanics, Materials, 727/728, 904-907(2015).

    [17] Ojala T, Pietikäinen M, Mäenpää T. A generalized local binary pattern operator for multiresolution gray scale and rotation invariant texture classification. [C]∥Advances in Pattern Recognition—ICAPR, 2001(2001).

    [18] Ojala T, Pietikainen M, Maenpaa T. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, 971-987(2002). http://jcp.bmj.com/external-ref?access_num=10.1109/TPAMI.2002.1017623&link_type=DOI

    [19] Zhang Y, Xiang Z Y, Chen S Y et al. Optimization on visual odometryunder weak texture environment[J]. Acta Optica Sinica, 38, 0615001(2018).

    [20] Hu Z Y, Zhou X D, Tang Y J et al. Measurement and resolution method for intra-pixel response of front-illuminated CMOS sensors[J]. Chinese Journal of Lasers, 46, 0910002(2019).

    [21] Wu X M. Study of luminous environment measurement through high dynamic range imaging[D]. Hangzhou: Zhejiang University, 6-70(2017).

    [22] Kirchner E, Dekker N. Performance measures of color-difference equations: correlation coefficient versus standardized residual sum of squares[J]. Journal of the Optical Society of America A, 28, 1841-1848(2011).

    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