Sand blasting process can produce fine random concave and convex surfaces on the surface of the workpiece, which make the collected image background of the workpiece complex and the defects difficult to detect. Especially for the detection of low-contrast scratches, scratch depth is less than the depth of sand blasting surface. Common edge detection methods and threshold segmentation methods are difficult to effectively extract the scratch defect. According to the vertical characteristics of scratches direction in the spatial domain and the spatial-frequency domain, a method based on Gabor filter is proposed for the detection of scratch defect. Firstly, 36 Gabor filters with different directions are used to extract the directional feature of the image. Then, using the gray threshold method to segment the scratch regions in 36 different directions and merge the scratch regions. Finally, the morphological processing is used to remove the noise interference and connect the scratch regions which are not continuous. The experimental results show that the method is feasible and robust. Compared with the hysteresis threshold algorithm, the algorithm extracts the edge of the scratch without burr and has high precision.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.