It's been a while, but in grad school I wrote a small utility in C for crack detection in Nickle based alloys. It was pretty low tech, not much AI or learning involved on the part of the program. It worked because the sample preperation was very standerdized. It worked well on only that one alloy and on a really narrow range of sample quality (overetch it and and you get nothing). Inspite of these limitaions, the productivity improvement was well worth the time spent on writing it.
The input was from a now very outdated Clemex system. The program basically measured change in contrast (B/W image). Maybe you should try something very basic to see if a non-AI software solution is any help to you. Dheeraj David <[EMAIL PROTECTED]> wrote: >Hi guys, > >I am thinking of using an AI system for crack detection. Basically, I am >doing some work in silicon wafer fabrication defect detection. The data >will be input from an source where it will resembles a crack. I am >trying to use some AI in this crack detection scheme. In the past, crack >detection is entirely done using human eyes. I wonder how feasible it is >to use Jess as an AI engine to identify these cracks from a visual >image. > >Many thanks in advance for your time and attention. > >Regards >David > > __________________________________________________________________ McAfee VirusScan Online from the Netscape Network. Comprehensive protection for your entire computer. Get your free trial today! http://channels.netscape.com/ns/computing/mcafee/index.jsp?promo=393397 Get AOL Instant Messenger 5.1 free of charge. Download Now! http://aim.aol.com/aimnew/Aim/register.adp?promo=380455 -------------------------------------------------------------------- To unsubscribe, send the words 'unsubscribe jess-users [EMAIL PROTECTED]' in the BODY of a message to [EMAIL PROTECTED], NOT to the list (use your own address!) List problems? Notify [EMAIL PROTECTED] --------------------------------------------------------------------
