Abstract

To solve the inspection windows placement problem of automatic optical inspection system, an incremental clustering algorithm was presented. Inspection objects can be clustered by checking the cluster windows' validity dynamically. Experimental results indicate the algorithm can overcome the drawback of evolutionary algorithm that needs great computation. Meanwhile the algorithm can fast determine the inspection windows when the inspection objects number is below 1 000.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.