Application of Machine Learning to Classify Surface Marker of the Screw

碩士 === 國立雲林科技大學 === 資訊工程系 === 104 === It’s important to recognize the marker and detect the defect on the surface of the screw. It can reduce human resources and improve effectiveness. General speaking, screw images suffered from the influences of splotch and reflection. How to classify the marker o...

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Bibliographic Details
Main Authors: SHIE, HUNG-CHANG, 謝鴻昌
Other Authors: CHANG,CHUAN-YU
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/65743011562885526061