Steel Surface Defects Detection based on Deep Learning

碩士 === 國立中正大學 === 資訊工程研究所 === 106 === Surface defects detection plays a significant role in quality enhancement in steel manufacturing. However, manual inspection of steel surface slows down the entire process and time consuming. Currently, many methods had been proposed for automatic defect detecti...

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Bibliographic Details
Main Authors: CHEN,GUAN-SHOU, 陳冠守
Other Authors: LIN,WEI-YANG
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/j7x799