Cutting Piece and CAD Matching Method Based on Feature Retrieval and Shape Segmentation

Abstract

In order to accurately measure the deviation between car seat cutting pieces and CAD templates, and then evaluate the production quality of car seat cutting pieces, this paper proposes a matching algorithm of car seat cutting pieces and CAD based on feature retrieval and shape segmentation. The processing object of this algorithm is the cutting piece images collected by the acquisition system that combines the backlight board and CCD camera. Firstly, according to the geometric characteristics of CAD, a CAD retrieval method based on image edge shape features was proposed. Then, in view of the flexible characteristics of car seat cutting piece, a matching algorithm of car seat cutting piece and CAD based on shape segmentation was proposed. Finally, the coordinate system of the cutting piece and CAD is unified by affine transformation, and the deviation between the two is calculated. A large number of experiments are performed in a field of view of 700x 500mm, and the results show that the method proposed in this paper can effectively improve the matching accuracy of the cutting piece and CAD. Experimental results verify the effectiveness of the proposed method.