Automatic detection technology of surface defects on plastic products based on machine vision

2010 ◽  
Author(s):  
Bin Liu ◽  
Shengjin Wu ◽  
Shifang Zou
Keyword(s):  
Machine Vision ◽  
Surface Defects ◽  
Automatic Detection ◽  
Detection Technology ◽  
Plastic Products

The Automatic Detection Technology for the Surface Defects of Automobile Engine Cylinder

2016 ◽  
Vol 693 ◽  
pp. 1458-1465 ◽  
Author(s):  
Jin Jun Ji ◽  
C. Ye
Keyword(s):  
Surface Defects ◽  
Automatic Detection ◽  
Geometric Distortion ◽  
Casting Defects ◽  
Automobile Engine ◽  
Fast Detection ◽  
Detection Technology ◽  
Engine Cylinder ◽  
Defect Area ◽  
Cylinder Bore

In view of the casting defects of the automobile engine cylinder, the automatic detection technology for the surface defects of cylinder was investigated in this study. Moreover, a system was designed to automatically detect the surface defects of engine cylinder bore basing on machine vision technology. The pixels of the bottom circle and top circle of cylinder bore were effectively extracted using a Hough transform-based fast detection circle algorithm; Aiming to solve the inconvenience in observation and measurement as well as the obvious geometric distortion presented in annular image, an algorithm, in which annulus was extended into rectangular, was put forward. Experiment results proved that this algorithm was fast and efficient and showed lower mean error in calculating annular defect area.

Automatic detection of surface defects on fruit by using a vision system

1988 ◽  
Vol 41 (1) ◽  
pp. 1-9 ◽  
Author(s):  
A. Davenel ◽  
Ch. Guizard ◽  
T. Labarre ◽  
F. Sevila
Keyword(s):  
Surface Defects ◽  
Vision System ◽  
Automatic Detection

scholarly journals Automatic Detection Technology of Sonar Image Target Based on the Three-Dimensional Imaging

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Wanzeng Kong ◽  
Jinshuai Yu ◽  
Ying Cheng ◽  
Weihua Cong ◽  
Huanhuan Xue
Keyword(s):  
Data Storage ◽  
3D Imaging ◽  
Signal To Noise Ratio ◽  
Three Dimensional ◽  
Automatic Detection ◽  
Classification Model ◽  
Image Detection ◽  
Practical Applications ◽  
Sonar Image ◽  
Detection Technology

With 3D imaging of the multisonar beam and serious interference of image noise, detecting objects based only on manual operation is inefficient and also not conducive to data storage and maintenance. In this paper, a set of sonar image automatic detection technologies based on 3D imaging is developed to satisfy the actual requirements in sonar image detection. Firstly, preprocessing was conducted to alleviate the noise and then the approximate position of object was obtained by calculating the signal-to-noise ratio of each target. Secondly, the separation of water bodies and strata is realized by maximum variance between clusters (OTSU) since there exist obvious differences between these two areas. Thus image segmentation can be easily implemented on both. Finally, the feature extraction is carried out, and the multidimensional Bayesian classification model is established to do classification. Experimental results show that the sonar-image-detection technology can effectively detect the target and meet the requirements of practical applications.

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