X Ray Image Enhancement Technology for Steel Pipe Welding Based on Hopfield Neural Network

2009 ◽  
Author(s):  
Gao Weixin ◽  
Sun Lianmin ◽  
Mu Xiangyang ◽  
Tang Nan ◽  
Wu Xiaomeng
Keyword(s):  
Neural Network ◽  
Image Enhancement ◽  
Hopfield Neural Network ◽  
Steel Pipe ◽  
X Ray ◽  
Enhancement Technology ◽  
Pipe Welding

Study on Terminal Identification Enhancement Method of Track and Field Using Digital X-Ray Photography Images

2014 ◽  
Vol 602-605 ◽  
pp. 2084-2088
Author(s):  
Xiao Lang Hu
Keyword(s):  
Image Processing ◽  
Image Enhancement ◽  
Boundary Value ◽  
Reconstruction Algorithm ◽  
Track And Field ◽  
Variation Principle ◽  
X Ray ◽  
Enhancement Technology ◽  
Recognition Function ◽  
Enhancement Method

Due to the development of image segmentation and reconstruction technology, it provides a larger space for development of the image enhancement technology. Under the promoting of the image processing calculation, the capture and recognition function of digital X-ray photography technology are stronger, and the image processing precision is higher. Based on the variation principle, this paper uses the function approximation to improve the X-ray photography image processing technology, and obtains the new boundary value reconstruction condition of X-ray photography. In order to verify the effectiveness and reliability of the mathematical model and algorithm of the boundary value reconstruction, this paper uses MATLAB software and C language to debug the algorithm, and realizes the digital color rendering for the images at the terminal of track and field, obtains the image reconstruction algorithm under different boundary values. It provides a new computer method for the research on image enhancement technology.

The Application of Image Enhancement Technology in Ammunition Fuze Safety Detector

2014 ◽  
Vol 940 ◽  
pp. 513-516 ◽  
Author(s):  
De Bao Zhang ◽  
Wen Qing Huang ◽  
Zhong Wei Li ◽  
Lei Zhang
Keyword(s):  
Real Time ◽  
Image Enhancement ◽  
Remote Detection ◽  
Image Smoothing ◽  
Histogram Modification ◽  
X Ray ◽  
The Real ◽  
Enhancement Technology ◽  
Computer Image Processing ◽  
Detection Mode

Aiming to the traditional detection mode can’t do the real-time detection of fixed ammunition fuze, nor discover the fuze arming in time ,thus, cause the ammunition explosion and the damage to the texting personnel on the scene. Put the Image enhancement technology into the safety detection, with image smoothing processing ,sharpening processing, Histogram modification and other technologies, enhanced the detection images of Fuze safety’s X-ray; then, it realized the visualization of the safety detection by computer image processing, with the application of the Real-time remote detection through LAN, improved the detection’s accuracy and efficiency, ensured the timeliness and safety of the detection.

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