scholarly journals Infrared Image Processing for Online Quality Control in Laser Welding

2010 ◽  
Author(s):  
S. Sahli ◽  
S. Fissette ◽  
X. Maldague
Keyword(s):  
Image Processing ◽  
Quality Control ◽  
Laser Welding ◽  
Infrared Image ◽  
Infrared Image Processing ◽  
Online Quality Control

Online quality control of laser welding using supporting line-shaped IR detection

1999 ◽  
Author(s):  
Hans K. Toenshoff ◽  
Ferdinand von Alvensleben ◽  
Andreas Ostendorf ◽  
Oliver Hillers ◽  
Matthias Stallmach
Keyword(s):  
Quality Control ◽  
Laser Welding ◽  
Supporting Line ◽  
Online Quality Control ◽  
Ir Detection

Method of Pointing Measurement Based on Infrared Image Processing for Mid-Infrared Laser

2012 ◽  
Vol 49 (8) ◽  
pp. 081404
Author(s):  
郭汝海 Guo Ruhai ◽  
孙涛 Sun Tao ◽  
王兵 Wang Bing
Keyword(s):  
Image Processing ◽  
Infrared Image ◽  
Infrared Laser ◽  
Mid Infrared ◽  
Infrared Image Processing

Method for Uncooled Infrared Image Processing

2013 ◽  
Vol 427-429 ◽  
pp. 1948-1951
Author(s):  
Jia Lin Ma ◽  
Xia Zhang
Keyword(s):  
Image Processing ◽  
Infrared Imaging ◽  
Imaging System ◽  
Infrared Detector ◽  
Infrared Image ◽  
National Defense ◽  
Histogram Modification ◽  
Infrared Image Processing ◽  
Manufacturing Techniques ◽  
Uncooled Infrared Imaging

Uncooled infrared imaging system has been increasingly applied in both the national defense and various fields of national economy. Such popularity is attributed to many of its advantages, including small size, light weight, low energy-consumption and superior portability. However, as limited by the structure and the material of infrared detector and the manufacturing techniques, infrared images are plagued with low resolution and poor image quality. This paper mainly studies the uncooled infrared image processing based on the gray levels partition processing, gray levels stretching and histogram modification, it aims to enhance the visual effect of infrared image.

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