Infrared Image Series Automatic Registration and a History & Tendency Analysis
- Resource Type
- Authors
- Pingjiang Wang; Xiaoyu Wang; Jihong Chen
- Source
- International Journal of Infrared and Millimeter Waves. 28:99-111
- Subject
- Infrared image
Radiation
Series (mathematics)
Infrared
Computer science
business.industry
Centroid
Image registration
Condensed Matter Physics
Fault (power engineering)
Image (mathematics)
Electric power system
Optics
Computer vision
Artificial intelligence
Electrical and Electronic Engineering
business
Instrumentation
- Language
- ISSN
- 1572-9559
0195-9271
Infrared camera has been widely used in electrical power systems for predictive and preventive thermal fault diagnosis. Without historical IR images being considered, most thermograph analysis used at present are concerned with static image. The dynamic history and tendency analysis which compares the newly taken image with historical images is particularly attractive. Conclusions can be drawn from temperature variations rather than just from anomalous thermal pattern. However the spatial distortions prevent such dynamic analysis from being practicable. So the need to register infrared images arises. This paper proposes an automatic registration algorithm based on closed temperature contour matching for infrared image series of a target equipment taken at different times. Centroid Distance Function is used in image registration for the first time. The algorithm can remove spatial distortions, bring temperature variations into prominence and endow infrared camera with dynamic analysis ability. Experiment shows that the algorithm is simple, effective and extensible.