Surface roughness inspection by computer vision in turning operations

The use of computer vision techniques to inspect surface roughness of a wor kpiece under a variation of turning operations has been reported in this pa per. The surface image of the workpiece is first acquired using a digital c amera and then the feature of the surface image is extracted. A polynomial network using a self-organizing adaptive modeling method is applied to cons tructing the relationships between the feature of the surface image and the actual surface roughness under a variation of turning operations. As a res ult, the surface roughness of the turned part can be predicted with reasona ble accuracy if the image of the turned surface and turning conditions are given. (C) 2001 Published by Elsevier Science Ltd.