| With the rapid development of the lithium battery industry,the separator is the core component of lithium batteries,and its production automation is becoming increasingly important.After the coating of the separator,some fine particles are randomly generated.The distribution and size of these particles are the determining factors of the electrical properties of the separator,which further influences the production quality of the entire lithium battery.However,the conventional method can’t achieve accurate and rapid measurement.Therefore,it is necessary to study the battery separator image detection system.Based on the existing research problems,this paper designs the detection system architecture of low-contrast battery separator image according to the requirements of separator quality and performance indicators.The selection of the image acquisition unit,the motion control unit,and the auxiliary unit was completed,and the optical path of the detection system is designed accordingly.The use of camera calibration and flat field correction improves the quality of the acquired separator image.Aiming at the problem of low contrast of separator image,this paper designs a filtering algorithm combining median filtering and Gaussian filtering.By comparing the image enhancement algorithm of gray-level transform and histogram correction,combined with time complexity,the quadratic polynomial gray-level transform algorithm is designed.And the separator image is thresholded by the Otsu algorithm.For the partial flaws in the segmentation results,this paper uses the opening and closing operations.The boundary tracking algorithm is designed to extract the target contour of the segmentation image.Then the diameter,circumference,area and coverage of the particle image are calculated,and the calculation method of the maximum diameter is optimized.At the end of this paper,the system deployment is completed,and interactive software is written to realize the engineering application of the system.The test images are tested and the high-precision calculation results are obtained,which verifies the accuracy,efficiency and reliability of the system. |
