Defect Detection System For Quality Assurance Using Automated Visual Inspection

Abstract

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.