Abstract: Using real-time visual inspection to identify the prepreg surface defects is a new quality control method.In order to detect the width changing of prepreg accurately,the prepreg edge needs to be transformed from image space into parameter space.To solve the problem that the traditional Hough transform has large amount of computation,according to “many-to-one” mapping principle,this paper combined with prepreg image features,proposed a prepreg edge line detection method based on linear fitting.Through rough fitting,error compensation,noise filtering and precise fitting,this algorithm can ensure the inspection accuracy and greatly improve the detection efficiency.In the case of adding Gaussian noise and impulse noise,the accuracy of this algorithm is almost the same with Hough transform and the operation speed can be increased about tenfold.

Key words: Automated fiber placement,Prepreg,Visual inspection,Edge fitting,Line detection,Hough transform