An Algorithm Based on PFT for Defect Recognition of X-Ray Steel Rope Cord Conveyer Belt Image

Abstract:

Detecting the state of conveyer belt is important in process such as coal mine. An algorithm based on PFT (Phase Fourier Transform) is used to recognize X-ray steel rope cord conveyer belt image with defect in this paper. Firstly, the algorithm based on PFT is introduced. Then, the algorithm is emulated to detect recognition of X-ray steel cord conveyer belt image in MATLAB. The results show that x-ray steel rope cord conveyer belt image with defect can be identified by the algorithm based on PFT.

• Periodical: Advanced Materials Research (Volume 722)
• Pages: 572-575
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.722.572
• Online since: July 2013
• Authors: Hou Peng Liu, Chang Yun Miao, Xian Guo Li
• Keywords: PFT, Recognition, X-Ray Image with Defect

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