Fast Position and Accurate Segmentation Algorithms for Detecting Surface Defects of the Thermal-State Heavy Rail Based on Machine Vision

Publisher： IGI Global_journal

E-ISSN： 1942-9037|5|4|40-60

ISSN： 1942-9045

Source： International Journal of Software Science and Computational Intelligence (IJSSCI), Vol.5, Iss.4, 2013-10, pp. : 40-60

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

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