Study And Application Of The Groupware Adaptive Recognition Method

The adaptive thin groupware recognition system this paper illustratored uses the machine vision inspection technology, uses the professional optics image and advanced CCD electron photograph technology to get image , puts some process arithmetic on image through computer to complete its mission ,and can recognise the unqualified assemble production having the problem of assembleing less and more hardware or the wrong assemble order .The recognition system is put into use in one mechanical factory in ningbo city ,zhejiang province.This paper illustrates detailedly the thin groupware auto-adaptive recognition system ;it also illlustrates the procession of capture image and take indispensable foreclose to wipe off noise in order to get boundary easilyer.The recognition system uses "Hough" transform method to make the recognition area orientation, and according to the unstable environment such as lights which leads to the change of the image's brightness, thresholds picture using an iterative selection method and then growing process for cell image segmentation based on local color similarity and global shape criteria ,adaptively gets the best threshold to divide the washer off the background .The recognition system uses the classifier based on minimal-error-ratio Bayes method to make decision after getting image characteristic. The project develop an image process and analyse system on Windows 2000 OS, complete the preconcerted task .The system is qualified on precision side, and the software's robusticity is verified in practice.