An Application of Image Processing to Detect the Defects of Industrial Pipes

Abstract: In many industries, conventional defects detection methods are performed by experienced human inspectors who sketch defect patterns manually and then resolve them. However, such detection methods are much expensive, inaccurate, complicated as well as time consuming. To overcome these problems, a new method has been introduced to detect and identify the defects in industrial pipes, automatically and effectively which is based on image processing. The proposed method works in three steps. In the first step, it converts the RGB image of the pipe into a grayscale image. Secondly, it extracts the pipe and finally it detects and identifies the defect.

Keywords: Defect detection; defect identification; image processing; pipe industry.