Image processing system and method for automatic can unloading of glass fiber roving

Abstract

The application provides an image processing system and method for automatic glass fiber yarn bundle drum unloading. The original monitoring image of the glass fiber yarn bundle stacking scene is obtained. The direction discrete graph representing the ring winding structure of the glass fiber yarn bundle is generated based on the original monitoring image, and the potential gap area is segmented. The potential gap area is used as a guide boundary to identify the constraint feature graph in the original monitoring image with the potential gap boundary as a constraint, and the local maximum points in the constraint feature graph are used as marker points to perform watershed segmentation on the original monitoring image to generate a yarn bundle segmentation mask. The symmetrical concave features caused by the center hole in the original monitoring image region are identified based on the yarn bundle segmentation mask. The grabbing target point for automatically unloading the glass fiber yarn bundle drum is identified based on the symmetrical concave features. The technical scheme provided by the application can identify the grabbing target point of the drum unloading mechanical arm under the interference of the ring winding structure of the glass fiber yarn bundle.

Images