scholarly journals Feature fusion–based preprocessing for steel plate surface defect recognition

2020 ◽  
Vol 17 (5) ◽  
pp. 5672-5685
Author(s):  
Yong Tian ◽  
◽  
Tian Zhang ◽  
Qingchao Zhang ◽  
Yong Li ◽  
...  
Keyword(s):  
Surface Defect ◽  
Steel Plate ◽  
Feature Fusion ◽  
Plate Surface ◽  
Defect Recognition

A new Feature-Fusion method based on training dataset prototype for surface defect recognition

2021 ◽  
Vol 50 ◽  
pp. 101392
Author(s):  
Yucheng Wang ◽  
Xinyu Li ◽  
Yiping Gao ◽  
Lijian Wang ◽  
Liang Gao
Keyword(s):  
Surface Defect ◽  
Feature Fusion ◽  
Training Dataset ◽  
Fusion Method ◽  
New Feature ◽  
Defect Recognition

Analysis and Study of the Steel Plate Surface Defects Image Processing and the Fractal Dimension Characteristics

2012 ◽  
Vol 482-484 ◽  
pp. 1773-1776
Author(s):  
Xuan Wang ◽  
Wei Liu ◽  
Hui Cao ◽  
Dong Ping Ma
Keyword(s):  
Image Processing ◽  
Fractal Dimension ◽  
Surface Defect ◽  
Surface Defects ◽  
Steel Plate ◽  
Image Feature ◽  
Plate Surface ◽  
Surface Image ◽  
Surface Defect Detection ◽  
Image Pattern

Steel surface defect detection is the key point of this research. The paper mainly focuses on the image processing and image feature extraction of the steel plate surface. The paper also focuses on the calculating procedure and results of the fractal dimension in different defects images. It can be concluded from the results of the study, fractal dimension of the defect images becomes an important feature of the steel plate surface image pattern recognition.

The Study on High Precision 3D Detection Method of Steel Plate Surface Based on Structured Light

2012 ◽  
Vol 572 ◽  
pp. 338-342 ◽  
Author(s):  
Zhi Guo Liang ◽  
Quan Yang ◽  
Ke Xu ◽  
Fei He ◽  
Xiao Chen Wang ◽  
...  
Keyword(s):  
Surface Quality ◽  
Steel Plate ◽  
Detection Method ◽  
Structured Light ◽  
Detection Methods ◽  
Measurement Technology ◽  
Detection Accuracy ◽  
Plate Surface ◽  
Factors Affecting

Structured light 3D measurement technology with its simple structure, non-contact measurement, fast measurement speed and other advantages, has been widely used. Steel plate surface quality detection is not confined to the two-dimensional feature of gray detection, and local topography measurement for surface quality of steel plate detection becomes increasingly important. In this paper, steel plate surface 3D detection method based on structured light and the factors affecting the measurement accuracy are analyzed. Several effective methods of improving 3D detection accuracy are put forward. Compared with the traditional structured light 3D detection methods, the detection accuracy of new methods is remarkably improved, thus possessing better application values.

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