Automated Surface Inspection Using Gabor Filters |
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Authors: | D-M Tsa S-K Wu |
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Affiliation: | (1) DepartmentofIndustrialEngineering,Yuan-ZeUniversity,Taiwan, TW |
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Abstract: | In this paper we present a machine vision system for the automatic inspection of defects in textured surfaces found in industry.
The defects to be inspected are those that appear as local anomalies embedded in a homogeneous texture. The proposed method
is based on a Gabor filtering scheme that computes the output response of energy from the convolution of a textured image
with a specific Gabor filter. The best parameters of a Gabor filter are selected so that the energy of the homogeneous texture
is zero, and any unpredictable defeats will generate significantly large energy values. A simple thresholding scheme then
follows to discriminate between homogeneous regions and defective regions in the filtered image. This transforms texture differences
into detectable filter output. The experiments on structural textures such as leather and sandpaper have shown the effectiveness
of the proposed method. |
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Keywords: | :Defect detection Gabor filter Machine vision Surface inspection |
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