Surface Defect Detect System Of Steel Ball Based On Machine Vision

In modern industry automation times, high degree of accuracy and quality are requested risingly. As a result, bearing is playing a greet part in production. All kind of equipment rely on it .Quality of steel ball affect precision and life-span of bearing. Statistic data is 85% in full fact. Invalidation form result from Crack and slit is 65%.Therefore,we ought to check steel ball and take crack and slit care for.It is main study content that develop a sort of image surface defect detect system applied in steel ball and manufacture industry. The system are composed of Daheng DH-HV2001UC FA CCD, Computar M0814-MP FA, CCS LED lamp house, NI PCI-6024E DAQ, Siemens s7-200 PLC, START 17HS001 motor, band carrier, the general stereoscopic vision microscope, the image processing computer.The mainly functions of the machine vision inspect system are acquiring and processing images, segmentation of images, recognition, matching images and execute inspect. The operation process is as follows. Firstly steel ball run down from charging bucket. Triggered vidicon capture image of steel ball three times continuously on band carrier. Secondly noise of image is removed by image processing. The interesting region is gained by edge detect and automation segmentation. Surface defect of steel ball is identified through it's character of area matched with standard image inborn template. If character of area is fit, the decision system make a order to check steel ball out. If character of area is not fit, the steel ball is collected to workpiece box automatically.A new improved Canny arithmetic is used for actual application as key technology. It smooth image with gauss wave filter and calculate grads' amplitude value and direction with two rank partial derivative's finite difference. It restrain the grads' amplitude by no maximal value and detect and link edgeswith double threshold value arithmetic, improve the anti-jamming of inspection and Signal-to-Noise. Effect of image edge close is complete.Reliability, stability, precision of system is suit for request with real test. It is showed machine vision detect system has good future.