2021
DOI: 10.1515/npprj-2021-0041
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Fold cracking of coated papers: investigation on automated computer-aided visual assessment method

Abstract: In this paper, white pixel percentage (WPP) value, as an overall measure of fold crack damages, has been analysed with respect to selected parameters of sample preparation and digitalization process, as well as the results of residual tensile strength. The WPP values were derived by an automated image processing algorithm, developed earlier, based on extensive comparative analysis of the existing computer-aided methods. Results indicate that WPP values correlate well with the extent of fold cracks on the coate… Show more

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Cited by 3 publications
(4 citation statements)
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“…White areas on the images of the coated paper samples are correlated to the surface damages that occurred during the folding process (Rättö & Hornatowska, 2010;Yang & Xie, 2011;Barbier et al, 2012;Rättö et al, 2012;Sim et al, 2012;Oh et al, 2015;Oh et al, 2016;Pál et al, 2017;Rajabi Abhari et al, 2018;Najafi et al, 2019b;Wang & Ding, 2020;Pál et al, 2021). To determine the white pixels` percentage on the digitized folded paper samples and the corresponding additional image features, an image processing algorithm has been developed with the following requirements (Sinha, 2000;Apro et al, 2011;Malek, 2012;Takemetoyo et al, 2007;Nashat et al, 2014;Goncalves et al, 2015;Sengupta et al, 2015): autonomous work, noise suppression, accurate surface damage mapping to the binary image, computationally as simple as a possible solution.…”
Section: Image Analysis and Feature Extractionmentioning
confidence: 99%
See 1 more Smart Citation
“…White areas on the images of the coated paper samples are correlated to the surface damages that occurred during the folding process (Rättö & Hornatowska, 2010;Yang & Xie, 2011;Barbier et al, 2012;Rättö et al, 2012;Sim et al, 2012;Oh et al, 2015;Oh et al, 2016;Pál et al, 2017;Rajabi Abhari et al, 2018;Najafi et al, 2019b;Wang & Ding, 2020;Pál et al, 2021). To determine the white pixels` percentage on the digitized folded paper samples and the corresponding additional image features, an image processing algorithm has been developed with the following requirements (Sinha, 2000;Apro et al, 2011;Malek, 2012;Takemetoyo et al, 2007;Nashat et al, 2014;Goncalves et al, 2015;Sengupta et al, 2015): autonomous work, noise suppression, accurate surface damage mapping to the binary image, computationally as simple as a possible solution.…”
Section: Image Analysis and Feature Extractionmentioning
confidence: 99%
“…To reduce the negative effects of folding process, the fold cracking resistance was gaining importance and has become an active field of research. Along with the commonly used mechanical testing methods, different computer-aided assessments have been introduced lately as new techniques for quantitative surface damage characterisation (Barbier et al, 2002;Rättö & Hornatowska, 2010;Yang & Xie, 2011;Rättö et al, 2012;Sim et al, 2012;Oh et al, 2015;Oh et al, 2016;Pál et al, 2017;Rajabi Abhari et al, 2018;Najafi et al, 2019;Wang & Ding, 2020;Pál et al, 2021). These newly proposed methods are based on image processing and analysis and have similar basic concept of damage registration, digitization, and image feature calculus.…”
mentioning
confidence: 99%
“…White areas on the images of the coated paper samples are correlated to the surface damages that occurred during the folding process (Rättö & Hornatowska, 2010;Yang & Xie, 2011;Barbier et al, 2012;Rättö et al, 2012;Sim et al, 2012;Oh et al, 2015;Oh et al, 2016;Pál et al, 2017;Rajabi Abhari et al, 2018;Najafi et al, 2019b;Wang & Ding, 2020;Pál et al, 2021). To determine the white pixels` percentage on the digitized folded paper samples and the corresponding additional image features, an image processing algorithm has been developed with the following requirements (Sinha, 2000;Apro et al, 2011;Malek, 2012;Takemetoyo et al, 2007;Nashat et al, 2014;Goncalves et al, 2015;Sengupta et al, 2015): autonomous work, noise suppression, accurate surface damage mapping to the binary image, computationally as simple as a possible solution.…”
Section: Image Analysis and Feature Extractionmentioning
confidence: 99%
“…To reduce the negative effects of folding process, the fold cracking resistance was gaining importance and has become an active field of research. Along with the commonly used mechanical testing methods, different computer-aided assessments have been introduced lately as new techniques for quantitative surface damage characterisation (Barbier et al, 2002;Rättö & Hornatowska, 2010;Yang & Xie, 2011;Rättö et al, 2012;Sim et al, 2012;Oh et al, 2015;Oh et al, 2016;Pál et al, 2017;Rajabi Abhari et al, 2018;Najafi et al, 2019;Wang & Ding, 2020;Pál et al, 2021). These newly proposed methods are based on image processing and analysis and have similar basic concept of damage registration, digitization, and image feature calculus.…”
Section: Introductionmentioning
confidence: 99%