Development of a Surface Defect Inspection System for Cold Rolled Strip Based on Bright-Dark Filed Mode

Wei, Yu Lan; Yan, Yun; Li, Bing; Cong, J. H.

doi:10.4028/www.scientific.net/amr.118-120.762

Cited by 3 publications

(4 citation statements)

References 5 publications

(4 reference statements)

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“…Wei et al. [19] proposed a bright–dark field lighting mode to detect defects on the surface of strip steel, and increased the amount of defect information.…”

Section: Image Acquisition Systemmentioning

confidence: 99%

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Review of surface defect detection of steel products based on machine vision

Tang

Chen

Sun

et al. 2022

IET Image Processing

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Steel plays an important role in industry, and the surface defect detection for steel products based on machine vision has been widely used during the last two decades. This paper attempts to review state‐of‐art of vision‐based surface defect inspection technology of steel products by investigating about 170 publications. This review covers the overall aspects of vision‐based surface defect inspection for steel products including hardware system, automated vision‐based inspection method, existing problems and latest development. The types of steel product surface defects composition of visual inspection system are briefly described, and image acquisition system is introduced as well. The image processing algorithms for surface defect detection of steel products are reviewed, including image pre‐processing, region of interest (ROI) detection, image segmentation for ROI, feature extraction and selection and defect classification. The important problems such as small sample and real time of steel surface defect detection are discussed. Finally, the challenge and development trend of steel surface defect detection are prospected.

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“…Wei et al. [19] proposed a bright–dark field lighting mode to detect defects on the surface of strip steel, and increased the amount of defect information.…”

Section: Image Acquisition Systemmentioning

confidence: 99%

“…Liu et al [18] established an image acquisition system based on bright and dark illumination to detect micro-deformation defects of steel plate surface. Wei et al [19] proposed a bright-dark field lighting mode to detect defects on the surface of strip steel, and increased the amount of defect information.…”

Section: Intensity Imagingmentioning

confidence: 99%

Review of surface defect detection of steel products based on machine vision

Tang

Chen

Sun

et al. 2022

IET Image Processing

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“…Image fusion is defined to synthesize two or more original images' information. The purpose to fuse is that by picking up and synthesizing more images' information to acquire the more accurate, comprehensive, and reliable image's description in the same occasion [3]. This fusion image should be more correspond to the visual characteristic of human or machines.…”

Section: Introductionmentioning

confidence: 99%

Research on Defect Images Fusion Method Based on Regional Energy Similarity

Wei

Fan

2013

AMR

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Because the fusion rules which are based on coefficient of a single point and coefficient of region has one-sidedness and are easy to make blending images lack fidelity, a new fusion rule is put forward. When this fusion rule fuses the low frequency sub-band resolved by wavelet method, it adequately consider the local areas regional energy and the regional energys similarity of the image which is need to fuse, and it use threshold to choose appropriate fusion rule. Experimental result indicated that this way can preferably keep detail features of the image, and it has some engineering application value.

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“…In order to solve this problem, a new image processing method based on double field is put forward. Two groups of CCD that located in bright field and dark field was adopted to collect images that located in the same place [4]. So the image data quantity is doubled, which impacted the real-time of system.…”

Section: Introductionmentioning

confidence: 99%

The Strip Steel Surface Defects Detection Adaptive Preprocessing Method Based on Double Field

Wei

Zhang

et al. 2012

AMR

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Double field detection method can effectively solve missing detection and mistake detection problems. But because the image data is two times as single field detection, and therefore the detection speed is slow. A new Processing flow is put forward. Firstly, the suspected defect images are filtered out, and only the images that contain defects can be processed in the follow programs. Secondly, the retained suspected defect images are divided into two categories. Different categories are handled by different process. The simulation experiment result shows that: it not only makes full use of the advantages of the double field method, and greatly reduces the image data quantity, at the same time ensuring the real-time of the system.

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Development of a Surface Defect Inspection System for Cold Rolled Strip Based on Bright-Dark Filed Mode

Cited by 3 publications

References 5 publications

Review of surface defect detection of steel products based on machine vision

Review of surface defect detection of steel products based on machine vision

Research on Defect Images Fusion Method Based on Regional Energy Similarity

The Strip Steel Surface Defects Detection Adaptive Preprocessing Method Based on Double Field

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