Automated Control of Surface Defects on Ceramic Tiles Using 3D Image Analysis

Sioma, Andrzej

doi:10.3390/ma13051250

Cited by 41 publications

(16 citation statements)

References 13 publications

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“…However, there are alternatives that are suitable for use in production lines [36,37]. The study of [38] investigates the applicability of 3D sensor technologies in the context of production lines.…”

Section: Discussionmentioning

confidence: 99%

Combined Use of 3D and HSI for the Classification of Printed Circuit Board Components

2021

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Successful recycling of electronic waste requires accurate separation of materials such as plastics, PCBs and electronic components on PCBs (capacitors, transistors, etc.). This article therefore proposes a vision approach based on a combination of 3D and HSI data, relying on the mutual support of the datasets to compensate existing weaknesses when using single 3D- and HSI-Sensors. The combined dataset serves as a basis for the extraction of geometric and spectral features. The classification is performed and evaluated based on these extracted features which are exploited through rules. The efficiency of the proposed approach is demonstrated using real electronic waste and leads to convincing results with an overall accuracy (OA) of 98.24%. To illustrate that the addition of 3D data has added value, a comparison is also performed with an SVM classification based only on hyperspectral data.

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Section: Discussionmentioning

confidence: 99%

Combined Use of 3D and HSI for the Classification of Printed Circuit Board Components

2021

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“…Then, the entire image is rotated according to the offset angle (θ) of the ceramic tile in the field of view to retain the edge of the ceramic tile horizontal (or vertical). Any two points (xa, ya) and (xb, yb) are considered on the edge line to calculate the offset angle (θ) according to (1). The effect after rotation is shown in Fig.…”

Section: Table I Acquisition Systemmentioning

confidence: 99%

“…First, the rough calculation is performed for a large range of parameters. Because C and g are both positive, their value range is set to 2 i , where i [1,10]. Adaptively discretizing the grid with iC = 0 and ig = 0 at the center, the accuracy of the model is evaluated and the accuracy distribution diagram is obtained (Fig.…”

Section: Selected the Largest Rectanglementioning

confidence: 99%

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Detection of Surface Defects in Ceramic Tiles With Complex Texture

Zhang

Peng

et al. 2021

IEEE Access

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To solve the problem of false defect detection owing to the interference of the texture attribute of ceramic tiles, a method for detecting surface defects in complex-textured ceramic tiles is proposed. Based on the visual detection principle of ceramic tile surfaces, an image acquisition system is established to obtain the ceramic tile image. After image segmentation and correction, the surface defects are preliminarily detected using a saliency detection method. Then, the image sub-block containing the defect area is cut out for secondary detection. The false defects are eliminated, and the final detection of the ceramic tile surface defects is completed using the defect determination method. The feasibility and effectiveness of the defect detection method are studied via comparative experiments. Experimental results show that the maximum accuracy rate of the proposed defect detection method is 98.75%, which satisfies the actual detection requirements and confirms the practical significance of the proposed method.INDEX TERMS Complex-textured ceramic tiles, defect determination, image acquisition, image sub-block, saliency detection HUAILIANG ZHANG received his Ph.D.

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“…It has the advantages of simple structure, high measurement frequency, small size, and light weight. It is widely used in agricultural development, industrial manufacturing, aerospace, and remote sensing applications, such as quantitative soil structure [8], laboratory turbulent water surface ranging [9], ceramic tile surface defect detection [10], aircraft engine blade measurement [11], and vegetation observation [12]. The laser triangulation method is very suitable for the production site requirements of gas meter companies.…”

Section: Introductionmentioning

confidence: 99%

Sealing Test of Gas Valve Cover of Gas Meter Based on Line Laser Triangulation Method

Liu¹,

Dai²,

Shen³

et al. 2020

AJOP

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The surface topography characteristics of the working surface of the gas valve cover of a gas meter can be used to quantitatively evaluate the sealing performance of the gas valve. A set of surface topography measurement devices based on line laser triangulation was fabricated to study the relationship between the flatness of the valve cover and valve tightness. In the experiment, several qualified and unqualified valve covers were selected for the measurement, and the original data of the three-dimensional topography of the valve cover surface were obtained; the data were tilted and corrected to obtain the flatness error of the valve cover surface. The experimental results showed that when the sampling data point interval is optimized, the flatness error can be used to distinguish the air valve cover sealing characteristics. When the X-axis sampling interval is 0.1 mm and the Y-axis sampling interval is 0.02 mm, the air valve cover rotates at 0°, and the flatness error threshold for distinguishing whether the air valve is qualified or not is approximately 0.1105 mm. Tightness testing method is verified, which provides an important foundation to realize higher accuracy measurement of gas meter.

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Automated Control of Surface Defects on Ceramic Tiles Using 3D Image Analysis

Cited by 41 publications

References 13 publications

Combined Use of 3D and HSI for the Classification of Printed Circuit Board Components

Combined Use of 3D and HSI for the Classification of Printed Circuit Board Components

Detection of Surface Defects in Ceramic Tiles With Complex Texture

Sealing Test of Gas Valve Cover of Gas Meter Based on Line Laser Triangulation Method

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