发明名称 |
Defect detection system for quality assurance using automated visual inspection |
摘要 |
A defect detection method and system for the automated visual inspection of web materials is provided. The invention utilize real Gabor function (RGF) filters with a non-linear function for estimating the local energy. An example method for quality assurance using automated visual inspection in accordance with the invention includes the steps of: automated design of a bank of RGF filters; using these RGF filters to sample the features of image under inspection; using a non-linear function to compute local energy estimate in the filtered images; combining all the filtered images using image fusion; and finally thresholding the resultant image to segment the defects in the inspection image. Possible embodiments of the described invention include detection of only a class of defects using a single tuned real Gabor filter or a bank of real Gabor functions.
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申请公布号 |
US6753965(B2) |
申请公布日期 |
2004.06.22 |
申请号 |
US20010144588 |
申请日期 |
2001.10.25 |
申请人 |
THE UNIVERSITY OF HONG KONG |
发明人 |
KUMAR AJAY;PANG KWOK-HUNG GRANTHAM |
分类号 |
G01N21/898;(IPC1-7):G01N21/84;G01N21/00 |
主分类号 |
G01N21/898 |
代理机构 |
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