2020
DOI: 10.1016/j.culher.2020.02.003
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Fracture and internal structure detection of ceramic objects using improved digital radiography images

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Cited by 7 publications
(4 citation statements)
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“…Similarly, it can be seen that item ref_325_y25 has lost all its shape by torsion, Figures 12a and 12b. Also, of potential significance is the enhanced results offered by the processed image of the items internal texture and porosity which informs the investigator of the manufacturing processes (Lang & Middleton, 2016;Yahaghi, Madrid, & Movafeghi, 2020), see Figures 13a and 13b relate to the metal fragment ref_894_1 where the processed image focuses on the internal granulometry of the fragment. Similarly, for item ref_895_4, which corresponds to an iron tape with metal rivets which is thought to be from a decorative element, Figure 14a.…”
Section: Resultsmentioning
confidence: 99%
“…Similarly, it can be seen that item ref_325_y25 has lost all its shape by torsion, Figures 12a and 12b. Also, of potential significance is the enhanced results offered by the processed image of the items internal texture and porosity which informs the investigator of the manufacturing processes (Lang & Middleton, 2016;Yahaghi, Madrid, & Movafeghi, 2020), see Figures 13a and 13b relate to the metal fragment ref_894_1 where the processed image focuses on the internal granulometry of the fragment. Similarly, for item ref_895_4, which corresponds to an iron tape with metal rivets which is thought to be from a decorative element, Figure 14a.…”
Section: Resultsmentioning
confidence: 99%
“…Moreover, the spacing and orientation of the crystal lattice can further prompt diffraction effects in scattered radiation, exerting additional influence on the scattering phenomena observed [59][60][61]. To enhance the reliability of detection, it is necessary to improve the signal-to-noise ratio and contrast of the images [15]. In this regard, digital image processing algorithms, such as the total variation method, optimized neural networks, and sparse methods, are widely used for image enhancement.…”
Section: Radiographic Testingmentioning
confidence: 99%
“…The morphology and location information of cracks can be obtained by the leakage magnetic field. In the early days, a series of methods were explored based on fundamental physical principles, such as eddy current testing (ECT) [10][11][12], magnetic particle testing (MPT) [13,14], penetrant testing (PT), ultrasonic testing (UT), and radiographic testing (RT) [15][16][17], which have been extensively utilized for the detection of metal cracks, among other defects. These methods have been refined over time and honed to address specific challenges posed by different materials and operating environments.…”
Section: Introductionmentioning
confidence: 99%
“…Multivariate statistical analysis is a method for processing and analyzing multivariate data and is suitable for exploring and interpreting patterns and relationships in complex data sets [7][8][9]. When studying the development history of Chinese ceramic packaging containers, multivariate statistical analysis methods, such as principal component analysis, cluster analysis, etc., can be used to analyze a large amount of sample data and reveal the development patterns and characteristics of ceramic packaging containers in different historical periods [10][11][12].…”
Section: Introductionmentioning
confidence: 99%