Rapid detection method of surface damage of metal film materials in complex environmental background
Metal film materials are prone to surface damage in practical applications,and the complex environment and background in which the materials are located make it difficult to determine the damage area in the image.Therefore,a rapid detection method for surface damage of metal film materials under complex environmental back-grounds is proposed.Perform grayscale processing on surface images of metal film materials in complex environmen-tal backgrounds.Determine the damaged area of the metal film material image by calculating the variance and mean of the image grayscale distribution.Use adaptive segmentation methods to segment the damaged area from the origi-nal image,and use Laplace operator to sharpen the damaged area.Extract the features of the sharpened damaged ar-ea through the gray level co-occurrence matrix,and input them into the rapid damage detection function of the metal film material surface to obtain the damage detection results.The experimental results show that the proposed meth-od can improve the image processing effect of metal film materials,improve the accuracy and efficiency of damage detection,and has high practical application value.
metal film material surfaceimage enhancementimage segmentationgray level co-occurrence matrixdamage detection
NETL
NSTL
万方数据
维普
