Sub-Millimeter Crack Detection in Casted Steel Using Color Photometric Stereo

Landström, Anders; Thurley, Matthew; Jönsson, Håkan

doi:10.1109/dicta.2013.6691532

Cited by 17 publications

(10 citation statements)

References 13 publications

(12 reference statements)

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“…Thanks to its high speed, low costs, and effectiveness at capturing defects on various surfaces, multi-illumination systems are widely used today in the industry. Applications include detecting casting defects on steel and other metallic surfaces [7,9,11,12,21,26], cracks in paintings [4,16], connection defects in electronic circuit boards [23], or quality control of carbon-fiber materials [18]. Due to the widely varying reflectance properties of the materials involved, defect detection techniques vary substantially in terms of their algorithmic steps.…”

Section: Related Workmentioning

confidence: 99%

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Defect segmentation for multi-illumination quality control systems

Honzátko

Türetken

Bigdeli

et al. 2021

Machine Vision and Applications

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Thanks to recent advancements in image processing and deep learning techniques, visual surface inspection in production lines has become an automated process as long as all the defects are visible in a single or a few images. However, it is often necessary to inspect parts under many different illumination conditions to capture all the defects. Training deep networks to perform this task requires large quantities of annotated data, which are rarely available and cumbersome to obtain. To alleviate this problem, we devised an original augmentation approach that, given a small image collection, generates rotated versions of the images while preserving illumination effects, something that random rotations cannot do. We introduce three real multi-illumination datasets, on which we demonstrate the effectiveness of our illumination preserving rotation approach. Training deep neural architectures with our approach delivers a performance increase of up to 51% in terms of AuPRC score over using standard rotations to perform data augmentation.

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Section: Related Workmentioning

confidence: 99%

“…A second class uses a hand-crafted set of image processing operations to produce feature maps and then use them for defect detection [7,11,18,19]. The operations used include edge-detection, thresholding, as well as various element-wise operations across the images such as maximum, subtraction, or division.…”

Section: Hand-crafted Featuresmentioning

confidence: 99%

Defect segmentation for multi-illumination quality control systems

Honzátko

Türetken

Bigdeli

et al. 2021

Machine Vision and Applications

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“…This is a weighted sum of Equation (17) and the previously calculated albedoÃ c with the weight α a . Note that Equation (31) is calculated if channel c is marked as valid through the process shown in Section 3.9, and A c =Ã c is used if it is invalid.…”

Section: Update Rulementioning

confidence: 99%

“…The color photometric stereo method [ 3 , 4 , 5 ] (also known as shape-from-color) was developed in the 1990s. Since then, various studies [ 4 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ] have been conducted in this regard. However, many problems are inherent in the color photometric stereo method.…”

Section: Related Workmentioning

confidence: 99%

Color Photometric Stereo Using Multi-Band Camera Constrained by Median Filter and Occluding Boundary

2019

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One of the main problems faced by the photometric stereo method is that several measurements are required, as this method needs illumination from light sources from different directions. A solution to this problem is the color photometric stereo method, which conducts one-shot measurements by simultaneously illuminating lights of different wavelengths. However, the classic color photometric stereo method only allows measurements of white objects, while a surface-normal estimation of a multicolored object using this method is theoretically impossible. Therefore, it is necessary to add some constraints to estimate the surface normal of a multicolored object using the framework of the color photometric stereo method. In this study, a median filter is employed as the constraint condition of albedo, and the surface normal of the occluding boundary is employed as the constraint condition of the surface normal. By employing a median filter as the constraint condition, the smooth distribution of the albedo and normal is calculated while the sharp features at the boundary of different albedos and normals are preserved. The surface normal at the occluding boundary is propagated into the inner part of the object region, and forms the abstract shape of the object. Such a surface normal gives a great clue to be used as an initial guess to the surface normal. To demonstrate the effectiveness of this study, a measurement device that can realize the multispectral photometric stereo method with seven colors is employed instead of the classic color photometric stereo method with three colors.

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“…Many domestic and foreign researchers have carried out extensive work and have developed their own slab quality prediction models [5,8,9,12,13], including Siemens-VAI's VAI-Q [14], Demag's XQE [15], British Steel's MTM [16,17], and online inspection of surface quality defects in slabs using various sensors [3,4,10,11,18]. Most of these models use methods based solely on neural networks, expert systems, database queries, or sensor detection.…”

Section: Introductionmentioning

confidence: 99%

A Prediction Model for Internal Cracks during Slab Continuous Casting

Kong

Chen

Liu

et al. 2019

Metals

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Slab continuous casting internal cracking is a common quality defect in the production process. The ability to predict the quality of each continuous casting product and assess whether it is suitable for hot delivery or needs to be cleaned down will greatly increase the rolled product rate and reduce the scrap rate and production management cost. According to the quality defects of internal cracks during slab continuous casting and based on the solidification and heat transfer simulations, stress and strain calculations and theoretical analysis of metallurgical processes related to continuous casting combined with an abnormal casting event expert system, the internal crack generation index of the slice unit is used to predict the crack occurrence rating of each sized slab. Moreover, the internal crack prediction model for the slab is successfully developed and applied in a domestic steel mill. The accuracy of the model prediction reached 86.85%. This method achieved the organic combination of theoretical analysis and an expert system and provides an important theoretical tool for the prediction of crack quality defects in slab continuous casting; the method can be applied in slab continuous casting production.

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Sub-Millimeter Crack Detection in Casted Steel Using Color Photometric Stereo

Cited by 17 publications

References 13 publications

Defect segmentation for multi-illumination quality control systems

Defect segmentation for multi-illumination quality control systems

Color Photometric Stereo Using Multi-Band Camera Constrained by Median Filter and Occluding Boundary

A Prediction Model for Internal Cracks during Slab Continuous Casting

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