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IJSTR >> Volume 9 - Issue 1, January 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



A Novel Robust Crack Detection Technique For Railtrack Inspection (RCDT-RTI) Using Image Processing (IP)

[Full Text]

 

AUTHOR(S)

A.Parimala, R.Ramakala, Dr.R.Uma

 

KEYWORDS

Rail Track Inspection, Damage Detection, Image Processing, Rail Track Crack Detection

 

ABSTRACT

One of the world's biggest railway networks is in India; manual Inspection and identifying a crack on these rail routes tracks is a monotonous procedure and expends much time and Human Resources (HR). For Rail Track Inspection (RCDT-RTI),this paper shows a Robust Crack DT, customized at the detection proof of primary surface damage on rail pattern.In this RCDT-RTI,the damagesDT exploitsthe wave propagationexperience by recognizing errors because of damage existence, in the dynamic behavior of the structure. This RCDT-RTI presents another Vision-Based (VB) strategy (TECH) to naturally identify the occurrence of the portion of interest in Rail Track (RT).The authentic images obtained by a digital camera installed under a trainthat is utilized by this inspection system. Information isprocessed by connectingIP and pattern recognition methods to accomplish high-performance.The DTuses fitting appropriate image preprocessing and post-processing TECH to improve performance, particularly in terms of false-positive rate. Our model can make a 98.5 % asaccurate positive rateand 2.306% as false positive rate.

 

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