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用于绘画监测的彩色数字图像相关去马赛克效果的计量评估

Metrological Evaluation of the Demosaicking Effect on Colour Digital Image Correlation with Application in Monitoring of Paintings.

作者信息

Papanikolaou Athanasia, Garbat Piotr, Kujawinska Malgorzata

机构信息

Faculty of Mechatronics, Warsaw University of Technology, 08-525 Warsaw, Poland.

Faculty of Electronics and Information Technology, Warsaw University of Technology, 00-665 Warsaw, Poland.

出版信息

Sensors (Basel). 2022 Sep 28;22(19):7359. doi: 10.3390/s22197359.

DOI:10.3390/s22197359
PMID:36236458
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9573450/
Abstract

A modified 3D colour digital image correlation method (3D cDIC) is proposed for efficient displacement measurements of colour objects with natural texture. The method is using a separate analysis of correlation coefficient (sigma) value in the RGB channels of CCD cameras by utilising local information from the channel with the minimum sigma. In this way, merged U, V and W displacement maps are generated based on the local correlation quality. As the proposed method applies to colour filter array cameras, the images in RGB channels have to undergo a demosaicking procedure which directly influences the accuracy of displacement measurements. In the paper, the best performing demosaicking methods are selected. The metrological analysis of their influence on the results of canvas paintings investigations obtained by unmodified and modified 3D cDIC processing is presented.

摘要

提出了一种改进的三维彩色数字图像相关方法(3D cDIC),用于对具有自然纹理的彩色物体进行高效位移测量。该方法通过利用具有最小相关系数(sigma)的通道中的局部信息,对CCD相机的RGB通道中的相关系数(sigma)值进行单独分析。通过这种方式,基于局部相关质量生成合并的U、V和W位移图。由于所提出的方法适用于彩色滤光片阵列相机,RGB通道中的图像必须经过去马赛克处理,这直接影响位移测量的准确性。本文选择了性能最佳的去马赛克方法。给出了它们对未经修改和修改后的3D cDIC处理所获得的帆布画调查结果影响的计量分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daee/9573450/8f6a934dfa36/sensors-22-07359-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daee/9573450/215b01a913b8/sensors-22-07359-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daee/9573450/d73ca634a485/sensors-22-07359-g004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daee/9573450/2314bed31eeb/sensors-22-07359-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daee/9573450/c92312eea93c/sensors-22-07359-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daee/9573450/c6c12843c8b8/sensors-22-07359-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daee/9573450/8f6a934dfa36/sensors-22-07359-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daee/9573450/215b01a913b8/sensors-22-07359-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daee/9573450/20b24e8a0b59/sensors-22-07359-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daee/9573450/88651ab7ae90/sensors-22-07359-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daee/9573450/d73ca634a485/sensors-22-07359-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daee/9573450/f15a1ef722cf/sensors-22-07359-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daee/9573450/e067a018c213/sensors-22-07359-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daee/9573450/d63cb17ad165/sensors-22-07359-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daee/9573450/2314bed31eeb/sensors-22-07359-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daee/9573450/c92312eea93c/sensors-22-07359-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daee/9573450/c6c12843c8b8/sensors-22-07359-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daee/9573450/8f6a934dfa36/sensors-22-07359-g011.jpg

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本文引用的文献

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Adaptive Residual Interpolation for Color and Multispectral Image Demosaicking.用于彩色和多光谱图像去马赛克的自适应残差插值
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2
Application of 3D digital image correlation to track displacements and strains of canvas paintings exposed to relative humidity changes.应用三维数字图像相关技术跟踪受相对湿度变化影响的帆布油画的位移和应变。
Appl Opt. 2014 Mar 20;53(9):1739-49. doi: 10.1364/AO.53.001739.
3
Equivalence of digital image correlation criteria for pattern matching.用于模式匹配的数字图像相关标准的等效性。
Appl Opt. 2010 Oct 1;49(28):5501-9. doi: 10.1364/AO.49.005501.
4
Adaptive homogeneity-directed demosaicing algorithm.自适应同质导向去马赛克算法。
IEEE Trans Image Process. 2005 Mar;14(3):360-9. doi: 10.1109/tip.2004.838691.