Study on image enhancement methods in glass insulator quality detection
Shi Cheng-long · 2012
The structure of glass insulator is complex.Its circular grooves lead to refraction and reflection,which makes the image contain a lot of circular shadows.When the glass insulator was detected,these shadows cover bubbles and cracks and reduce the image definition.These shadows decreased the accuracy in quality detection.Aiming at this problem,the method of frequency filtering was presented.The defect characteristics of bubbles and cracks were analyzed and homomorphic filtering and high frequency emphasis filtering are adopted respectively to restrain the background caused by circular shadows and to enhance the defect.The test results indicate that the method of frequency filtering can enhance the details of defect effectively.It helps to image segmentation subsequently and defect recognition and improves the accuracy in the quality detection of glass insulators.