Stabilization of infrared image sequence with differential invariants and M-estimators

1999 ◽  
Author(s):  
Daniel McReynolds ◽  
Pascal Marchand ◽  
Yunlong Sheng ◽  
Langis Gagnon ◽  
Leandre Sevigny
Keyword(s):  
Infrared Image ◽  
Image Sequence ◽  
Differential Invariants ◽  
Infrared Image Sequence

Application of trust region method in infrared image sequence processing

2020 ◽  
Vol 49 (7) ◽  
pp. 20190505
Author(s):  
万李涛 Litao Wan ◽  
熊楠菲 Nanfei Xiong ◽  
王栋 Dong Wang ◽  
汪子君 Zijun Wang
Keyword(s):  
Trust Region Method ◽  
Infrared Image ◽  
Trust Region ◽  
Image Sequence ◽  
Sequence Processing ◽  
Region Method ◽  
Image Sequence Processing ◽  
Infrared Image Sequence

An efficient approach to extraction ROI from infrared image sequence

2009 ◽  
Author(s):  
Qing-hua Chen ◽  
Xiao-fang Xie ◽  
Tian-jie Guo ◽  
Sheng-zhi Yuan
Keyword(s):  
Infrared Image ◽  
Image Sequence ◽  
Efficient Approach ◽  
Infrared Image Sequence

scholarly journals Automatic Extraction of Material Defect Size by Infrared Image Sequence

2020 ◽  
Vol 10 (22) ◽  
pp. 8248
Author(s):  
Lihua Yuan ◽  
Xiao Zhu ◽  
Quanbin Sun ◽  
Haibo Liu ◽  
Peter Yuen ◽  
...  
Keyword(s):  
Infrared Image ◽  
Region Of Interest ◽  
Image Sequence ◽  
General Information ◽  
Fiber Reinforced Polymer ◽  
Key Frame ◽  
Reinforced Polymer ◽  
Blob Analysis ◽  
Different Depths ◽  
Infrared Image Sequence

A typical pulsed thermography procedure results in a sequence of infrared images that reflects the evolution of temperature over time. Many features of defects, such as shape, position, and size, are derived from single image by image processing. Hence, determining the key frame from the sequence is an important problem to be solved first. A maximum standard deviation of the sensitive region method was proposed, which can identify a reasonable image frame automatically from an infrared image sequence; then, a stratagem of image composition was applied for enhancing the detection of deep defects in the key frame. Blob analysis had been adopted to acquire general information of defects such as their distributions and total number of defects. A region of interest of the defect was automatically located by its key frame combined with blob analysis. The defect information was obtained through image segmentation techniques. To obtain a robustness of results, a method of two steps of detection was proposed. The specimen of polyvinyl chloride with two artificial defects at different depths as an example was used to demonstrate how to operate the proposed method for an accurate result. At last, the proposed method was successfully adopted to examine the damage of carbon fiber-reinforced polymer. A comparative study between the proposed method and several state-of-the-art ones shows that the former is accurate and reliable and may provide a more useful and reliable tool for quality assurance in the industrial and manufacturing sectors.

Stabilization of infrared image sequence with rotation, scaling and view-angle changes

1998 ◽  
Author(s):  
Daniel McReynolds ◽  
Yunlong Sheng ◽  
Langis Gagnon ◽  
Leandre Sevigny
Keyword(s):  
Infrared Image ◽  
Image Sequence ◽  
Infrared Image Sequence
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