Automated defect detection system using wavelet packet frame and Gaussian mixture model

2006 ◽  
Vol 23 (11) ◽  
pp. 2690 ◽  
Author(s):  
Soo Chang Kim ◽  
Tae Jin Kang
Keyword(s):  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Defect Detection ◽  
Detection System ◽  
Wavelet Packet ◽  
Gaussian Mixture

An Improved Algorithm for Real-Time Moving Target Detection Based on Gaussian Mixture Model

2014 ◽  
Vol 599-601 ◽  
pp. 814-818 ◽  
Author(s):  
Xue Yuan Chen ◽  
Xia Fu Lv ◽  
Jie Liu
Keyword(s):  
Real Time ◽  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Detection System ◽  
Gaussian Mixture ◽  
Learning Rate ◽  
Model Parameters ◽  
Illumination Variation ◽  
Matching Algorithm ◽  
Passive Learning

Gaussian Mixture Model is a popular method to detect moving targets for static cameras. Since the traditional Gaussian Mixture Model has a poor adaptability when the illumination is changing in the scene and has passive learning rate, this paper describes a method that can detect illumination variation and update the learning rate adaptively. It proposes an approach which uses the color histogram matching algorithm and adjusts the learning rate automatically after introducing illumination variation factor and model parameters. Furthermore, the proposed method can select the number of describing model component adaptively, so this method reduced the computation complexity and improved the real-time performance. The experiment results indicate that the detection system gets better robustness, adaptability and stability.

Automatic Visual Detection System of Railway Surface Defects With Curvature Filter and Improved Gaussian Mixture Model

2018 ◽  
Vol 67 (7) ◽  
pp. 1593-1608 ◽  
Author(s):  
Hui Zhang ◽  
Xiating Jin ◽  
Q. M. Jonathan Wu ◽  
Yaonan Wang ◽  
Zhendong He ◽  
...  
Keyword(s):  
Gaussian Mixture Model ◽  
Mixture Model ◽  
Surface Defects ◽  
Visual Detection ◽  
Detection System ◽  
Gaussian Mixture
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