Recognition of Pole Piece Defects of Lithium Battery Based on Sparse Decomposition

Abstract

To study surface denoising of lithium battery film to extract feature effectively. The best atomic function by sparse decomposition is acquired by iteration under added noise, gaussian noise, salt and pepper noise, additive and multiplicative noise. Terminating iteration value is got by observation and used to filter under specific background noise. Experiment shows sparse decomposition denoising performance is better than the median filter, sparse decomposition is good for detection of lithium battery film defects.