12 December 2017 Surface inspection system for industrial components based on shape from shading minimization approach
Author Affiliations +
An inspection system using estimated three-dimensional (3-D) surface characteristics information to detect and classify the faults to increase the quality control on the frequently used industrial components is proposed. Shape from shading (SFS) is one of the basic and classic 3-D shape recovery problems in computer vision. In our application, we developed a system using Frankot and Chellappa SFS method based on the minimization of the selected basis function. First, the specialized image acquisition system captured the images of the component. To eliminate noise, wavelet transform is applied to the taken images. Then, estimated gradients were used to obtain depth and surface profiles. Depth information was used to determine and classify the surface defects. Also, a comparison made with some linearization-based SFS algorithms was discussed. The developed system was applied to real products and the results indicated that using SFS approaches is useful and various types of defects can easily be detected in a short period of time.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Muhammed Kotan, Cemil Öz, "Surface inspection system for industrial components based on shape from shading minimization approach," Optical Engineering 56(12), 123105 (12 December 2017). https://doi.org/10.1117/1.OE.56.12.123105 . Submission: Received: 27 July 2017; Accepted: 14 November 2017
Received: 27 July 2017; Accepted: 14 November 2017; Published: 12 December 2017


Bottle inspector based on machine vision
Proceedings of SPIE (March 06 2013)
Fast rail corrugation detection based on texture filtering
Proceedings of SPIE (February 19 2018)
Robust system for automated wood inspection
Proceedings of SPIE (April 04 2001)
Multispectral inspection station detects defects on apples
Proceedings of SPIE (December 29 2000)
Unconstrained shape from shading
Proceedings of SPIE (August 06 1993)

Back to Top