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

摘要

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.