An non-referential machine vision approach for BGA substrate inspection

碩士 === 元智大學 === 工業工程與管理學系 === 90 === In this research, a non-referential machine vision method is proposed to detect surface defects on ball grid array (BGA) substrates. Traditional automatic visual inspection systems have used template matching for PCB inspection. They require a large am...

Full description

Bibliographic Details
Main Authors: Kun-Han Hsieh, 謝坤翰
Other Authors: Du-Ming Tsai
Format: Others
Language:zh-TW
Published: 2002
Online Access:http://ndltd.ncl.edu.tw/handle/09794392892906961493