Flaw detection improvement of digitised radiographs by morphological transformations

Amir, Mohammad; Kargarnovin, M. H.; Soltanian-Zadeh, Hamid; Taheri, M.; Ghasemi, Farshad; Rokrok, B.; Edalati, Kaveh; Rastkhah, N.

doi:10.1784/insi.2005.47.10.625

Cited by 8 publications

(5 citation statements)

References 22 publications

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“…The 2DDWT decomposes an image into three sets of 'detail' coefficients that represent high-frequency information in the original image, with horizontal, vertical and diagonal ( cD n h , cD n v and cD n d ) orientations, respectively [12,13] . Additionally, it produces a set of 'approximation' coefficients (cA n ), which represent the remaining lower-frequency information in the original image.…”

Section: Methodsmentioning

confidence: 99%

“…Wavelet techniques have been successfully applied in many nondestructive testing applications for the detection of flaws, including using data derived from optical [12] and radiographic [13] testing methods. There are also many reported examples of the application of wavelet techniques in the characterisation of composite materials, for example the detection of internal defects via acoustic emission pulse data [14] .…”

Section: Introductionmentioning

confidence: 99%

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Ranking of fibre-reinforced composite plate surface finish quality by wavelet texture analysis

Palmer¹,

Hall²,

Summerscales³

2016

Insight

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In the automotive and other industries, the visual appearance of external surfaces is a key factor in perceived product quality. Traditionally, the quality of an automotive surface finish has been judged by expert human auditors. A set of 17 fibre-reinforced composite plates was previously manufactured to have a range of surface finish qualities and these plates were ranked by three expert observers and also optically digitally imaged. Following validation of the previous rankings, the wavelet texture analysis (WTA) technique was applied to the digital photographs to derive an instrumental measure of surface finish quality based on the panel images. The rank correlation between the human expert surface finish quality ratings and those from the WTA image analysis process was found to be positive, large and statistically significant. This finding indicates that WTA could form the basis of an inexpensive and practical instrumental method for the ranking of fibre-reinforced composite surface finish quality.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ranking of fibre-reinforced composite plate surface finish quality by wavelet texture analysis

Palmer¹,

Hall²,

Summerscales³

2016

Insight

View full text Add to dashboard Cite

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“…Digital formatting and further processing enhances overall image quality, enabling better and more detailed evaluation. [5][6][7][8][9]. Digitized radiographs were used in this study.…”

Section: Radiography Methodsmentioning

confidence: 99%

Cultural Heritage Object Identification by Radiography Nondestructive Method and Digital Image Processing

Yahaghi

Amir²,

Ahmadi³

et al. 2011

AMM

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Nondestructive testing (NDT) is an important tool in the world of industry. Among different NDT methods, radiography plays a very interesting role both in industry and medicine. Medical and industrial uses of X and gamma rays were recognized since more than 1 century ago. One of the interesting uses of radiography is in archeological and art applications. In this research, radiography was utilized for identification of a damaged art-historical material. The subject is a brass tray belonging to Iran cultural heritage with an estimated age of about 3500 years. The tray was found in Lorestan province and referred to as “Lorestan bonze”. The object was damaged seriously due to heavy corrosion attack. Therefore recognition of the object was a major problem. Normal radiography method can help for object determination, but it suffers some major drawbacks related to contrast and thickness measurement. Image processing technique and a precise thickness measurement method were added to digitized radiographs. A precise radiographic thickness method was introduced and used before for the pipeline radiography. For digital image processing, Canny edge detection method and Gaussian filter were used. Radiography image obtained from this work showed a very clear picture of the original trace of hammered design. These results showed that a combination of radiography, image processing techniques and consideration of physical principles of radiation interaction with materials can produce a very clear image which can be used effectively for hte detail analysis of cultural heritages.

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“…In radiography, latent patterns and serious damage are revealed due to the penetration of X-rays into the underlying layers. X-rays can reveal the hidden image of a painting on different layers [20][21][22]. Before using the radiographic test, the thickness of the painting layers leads the experts to believe that the painting is not the original and another design has been drawn on it.…”

Section: Introductionmentioning

confidence: 99%

Identify hidden designs in antique paintings using industrial radiography

Mirzapour

Yahaghi

Limanjubi

et al. 2020

JRA

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In past centuries, to prevent exquisite paintings, new works of art were painted on them. To identify the hidden paintings on the board, using digital radiography as a non-destructive testing method is recommended. Some phenomenon such as photon scattering, different types of noises, etc. causes on the quality of output radiographs. In this paper, we use two pyramid-based techniques, i.e., the Gaussian pyramid method and the Laplacian pyramid method, to improve the quality of radiographs. The experimental results show the effectiveness of applied techniques for identifying the hidden paintings.

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Flaw detection improvement of digitised radiographs by morphological transformations

Cited by 8 publications

References 22 publications

Ranking of fibre-reinforced composite plate surface finish quality by wavelet texture analysis

Ranking of fibre-reinforced composite plate surface finish quality by wavelet texture analysis

Cultural Heritage Object Identification by Radiography Nondestructive Method and Digital Image Processing

Identify hidden designs in antique paintings using industrial radiography

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