基于形态学的自动铺丝纤维铺放准确性检测OA北大核心CSTPCD

Automatic fibex laying quality inspection is both time consuming and inadequate,with low defect contrast.In this re-gard,according to the thermal characteristics of the fibex tow laying process,a platform for fibex tow placement accuracy detection is constructed,and the morphological algorithm is combined with infrared image features of defects for fibex tow placement accura-cy detection.Firstly,the top-hat transform of structural elements with the same shape and different scales is carried out,and then the multi-scale bright and dark regions under each group of scales and multi-scale bright and dark details between adjacent groups of scales are extracted to enhance the image;secondly,the multi-directional and multi-scale structural elements and the morpho-logical edge detection algorithm with coefficients self-adjustment are used to obtain the location of filament bundle edges.The ex-perimental results show that the method balances the coordination problem between edge detection accuracy and antinoise per-formance on top of image noise reduction and image contrast enhancement,and effectively detects the fibex tow placement accura-cy with a maximum placement error of no more than 4.53％.