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Content-Based Image Retrieval System for Optical Fiber Sensor Information Processing


Affiliations
1 Dept. of Mechanical Engineering, Govt. Engineering College, Hassan, India
2 Dept. of Mechanical Engineering, Smt. L.V. (Govt.) Polytechnic, Hassan, India
 

Fiber reinforced polymer (FRP) materials are finding new application areas every day. Monitoring of FRP materials is essential to make the structure fail-safe. Researchers have developed many methods for structural health monitoring (SHM) of FRP structures by using optical fiber sensors. The interrogation system used for processing optical fiber sensor information in these SHMs is very complex and expensive. In this regard, a unique interrogation method has been emphasized in this paper. Proposed work involves in developing the interrogation system, with the aid of content-based image retrieval (CBIR) using MATLAB.

Keywords

Content-Based Image Retrieval System, Fiber Reinforced Polymer, Optical Fiber Sensors, Structural Health Monitoring.
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  • Content-Based Image Retrieval System for Optical Fiber Sensor Information Processing

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Authors

S. Madhusudhan
Dept. of Mechanical Engineering, Govt. Engineering College, Hassan, India
K. R. Channakeshava
Dept. of Mechanical Engineering, Smt. L.V. (Govt.) Polytechnic, Hassan, India
T. Rangaswamy
Dept. of Mechanical Engineering, Govt. Engineering College, Hassan, India

Abstract


Fiber reinforced polymer (FRP) materials are finding new application areas every day. Monitoring of FRP materials is essential to make the structure fail-safe. Researchers have developed many methods for structural health monitoring (SHM) of FRP structures by using optical fiber sensors. The interrogation system used for processing optical fiber sensor information in these SHMs is very complex and expensive. In this regard, a unique interrogation method has been emphasized in this paper. Proposed work involves in developing the interrogation system, with the aid of content-based image retrieval (CBIR) using MATLAB.

Keywords


Content-Based Image Retrieval System, Fiber Reinforced Polymer, Optical Fiber Sensors, Structural Health Monitoring.