scholarly journals Research on Detection Method of Sheet Surface Defects Based on Machine Vision

2021 ◽  
Vol 632 ◽  
pp. 052085
Author(s):  
Yuanmin Huang ◽  
Ming Yi ◽  
Weihang Yang ◽  
Man Yang
Keyword(s):  
Machine Vision ◽  
Surface Defects ◽  
Detection Method ◽  
Sheet Surface

Defect Detecting Technology Based on Machine Vision of Industrial Parts

2014 ◽  
Vol 641-642 ◽  
pp. 1275-1279 ◽  
Author(s):  
Xiao Jun He ◽  
Zhen Di Yi ◽  
Jing Liu ◽  
Yu Zheng Wang
Keyword(s):  
Machine Vision ◽  
Edge Detection ◽  
Surface Defects ◽  
Detection Method ◽  
Median Filter ◽  
High Accuracy ◽  
Testing Time

In order to reach and test the surface defects on industrial parts, based on Machine Vision this paper put forward a defective parts detection method. The method of median filter was adopted to eliminate the noise of image. The Ostu-method was used for the segmenting threshold. Pixel level and level edge detection were used to complete the precise components defects detection. Experiments show that this scheme is feasible, and can achieve high accuracy and shorter testing time.

scholarly journals Segmented Embedded Rapid Defect Detection Method for Bearing Surface Defects

Machines ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 40
Author(s):  
Linjian Lei ◽  
Shengli Sun ◽  
Yue Zhang ◽  
Huikai Liu ◽  
Hui Xie
Keyword(s):  
Machine Vision ◽  
Defect Detection ◽  
Character Recognition ◽  
Surface Defect ◽  
Surface Defects ◽  
Detection Method ◽  
Rapid Development ◽  
Detection Accuracy ◽  
Bearing Surface ◽  
Surface Defect Detection

The rapid development of machine vision has prompted the continuous emergence of new detection systems and algorithms in surface defect detection. However, most of the existing methods establish their systems with few comparisons and verifications, and the methods described still have various problems. Thus, an original defect detection method: Segmented Embedded Rapid Defect Detection Method for Surface Defects (SERDD) is proposed in this paper. This method realizes the two-way fusion of image processing and defect detection, which can efficiently and accurately detect surface defects such as depression, scratches, notches, oil, shallow characters, abnormal dimensions, etc. Besides, the character recognition method based on Spatial Pyramid Character Proportion Matching (SPCPM) is used to identify the engraved characters on the bearing dust cover. Moreover, the problem of characters being cut in coordinate transformation is solved through Image Self-Stitching-and-Cropping (ISSC). This paper adopts adequate real image data to verify and compare the methods and proves the effectiveness and advancement through detection accuracy, missing alarm rate, and false alarm rate. This method can provide machine vision technical support for bearing surface defect detection in its real sense.

scholarly journals Cut-Edge Detection Method for Rice Harvesting Based on Machine Vision

Agronomy ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 590
Author(s):  
Zhenqian Zhang ◽  
Ruyue Cao ◽  
Cheng Peng ◽  
Renjie Liu ◽  
Yifan Sun ◽  
...  
Keyword(s):  
Machine Vision ◽  
Edge Detection ◽  
Detection Method ◽  
Region Of Interest ◽  
Average Error ◽  
Vertical Projection ◽  
Cut Edge ◽  
Fitting Method ◽  
Combine Harvester ◽  
Edge Detection Method

A cut-edge detection method based on machine vision was developed for obtaining the navigation path of a combine harvester. First, the Cr component in the YCbCr color model was selected as the grayscale feature factor. Then, by detecting the end of the crop row, judging the target demarcation and getting the feature points, the region of interest (ROI) was automatically gained. Subsequently, the vertical projection was applied to reduce the noise. All the points in the ROI were calculated, and a dividing point was found in each row. The hierarchical clustering method was used to extract the outliers. At last, the polynomial fitting method was used to acquire the straight or curved cut-edge. The results gained from the samples showed that the average error for locating the cut-edge was 2.84 cm. The method was capable of providing support for the automatic navigation of a combine harvester.

Unified detection method of aluminium profile surface defects: Common and rare defect categories

2020 ◽  
Vol 126 ◽  
pp. 105936 ◽  
Author(s):  
Defu Zhang ◽  
Kechen Song ◽  
Jing Xu ◽  
Yu He ◽  
Yunhui Yan
Keyword(s):  
Surface Defects ◽  
Detection Method

A method for classifying citrus surface defects based on machine vision

2021 ◽  
Author(s):  
Wenzhuo Zhang ◽  
Aijiao Tan ◽  
Guoxiong Zhou ◽  
Aibin Chen ◽  
Mingxuan Li ◽  
...  
Keyword(s):  
Machine Vision ◽  
Surface Defects

Ultra-precision detection of surface defects of large aperture diffraction grating based on machine vision

2021 ◽  
Author(s):  
Haotian Wang ◽  
Chaoming Li ◽  
Xinrong Chen ◽  
Zhe Huang ◽  
Jiayao Pan ◽  
...  
Keyword(s):  
Machine Vision ◽  
Diffraction Grating ◽  
Surface Defects ◽  
Large Aperture ◽  
Ultra Precision ◽  
Aperture Diffraction

Optimization of Rolling Modes on the Mill 1700 of JSC "ArselorMittal Temirtau" with Aim to Increase Quality of Sheet Rolled Products

2015 ◽  
Vol 1095 ◽  
pp. 786-794
Author(s):  
A.B. Naizabekov ◽  
V.A. Talmazan ◽  
S.N. Lezhnev ◽  
E.A Panin ◽  
А.S. Erzhanov ◽  
...  
Keyword(s):  
Surface Defects ◽  
Mechanical Damage ◽  
Rolling Process ◽  
Rolled Sheet ◽  
Strip Rolling ◽  
Technological Factors ◽  
Second Stage ◽  
Sheet Surface ◽  
Cold Rolled

Used the influence of technological factors of the rolling process on the intensity of the rolling out of the defect to determine the value of deformation and the coefficient of use of the plasticity resource. Introduced the notion of residual coefficient of plasticity resource in the second stage of transformation of the defect. Found that the causes of deterioration of the quality of cold-rolled sheet can be numerous defects of mechanical origin, caused by mechanical damage of the sheet surface. Conducted an analysis of profiles rolling modes, rolled on the mill 1700. With the use of existing methods calculated DUPR on workshop modes of rolling of specified profiles with and without considering the surface defects. Carried an optimization of the modes of strip rolling with surface defects.

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