An Automatic Defects Detection Scheme for Lithium-ion Battery Electrode Surface

This paper presents an automatic flaw inspection scheme for online real-time detection of the defects on the surface of lithium-ion battery electrode (LIBE) in actual industrial production. Firstly, based on the conventional methods of region extraction, ROI (region of LIBE) could be extracted from the captured LIBE original image. Secondly, in order to reduce the influences of uneven illumination and nonuniform thickness of LIBE on the ROI background region, a fast background compensation algorithm is put forward. Furthermore, with the help of the simple threshold segmentation and external rectangle transformation, the potential defect region could be quickly detected and extracted. Finally, an adaptive threshold segmentation algorithm based on gray histogram reconstruction is proposed to inspect the flaws in the extracted potential defect region accurately and rapidly. The experiments have proved the valid effect of the background compensation algorithm in reducing the gray value fluctuation of ROI background region and the well performance of the proposed threshold segmentation algorithm in terms of the defect detection effect and inspection speed, which has verified the effectiveness of this flaw inspection scheme.