Detection of Coating Defects in Hydrogen Fuel Cells Based on Region Growth and BLOB Analysis
In view of the difficulty in detecting coating defects in hydrogen fuel cells,an image detec-tion method for coating defects based on region growth and binary large object(BLOB)analysis was pro-posed.Firstly,the region of interest of the image was extracted and processed by Gaussian filtering.Then,the image was segmented by region growth.Finally,the connected region was marked by BLOB analysis.The experimental results show that the method in this paper can effectively detect the coating defects in hydrogen fuel cells,and the accuracy meets the detection requirements.
万方数据
维普
