Research on Orbital Surface Disease Detection Based on Image Processing
Taking steel rails as the research object,combined with image processing technology,the surface quality of steel rails is detected.Firstly,it preprocesses the steel rail image,enhance the image through linear grayscale transformation,and use adaptive filtering for image denoising.Secondly,the Ostu threshold segmentation algorithm is used to segment defects in the preprocessed steel rail images.Finally,using eccentricity,rectangularity,and density as classification criteria,the surface defects of steel rails are classified using decision tree classification method.The experimental results show that the image processing-based steel rail surface quality detection method can effectively detect steel rail defects,with a segmentation accuracy of 96.7%and a classification accuracy of 90%,providing an effective detection method for steel rail surface quality detection.
国家科技期刊平台
NSTL
万方数据
维普
