caa a22 4500 475798317 CHVBK 20180406123730.0 cr unu---uuuuu 170329e20000601xx s 000 0 eng 10.1007/s001700070055 doi (NATIONALLICENCE)springer-10.1007/s001700070055 Automated Surface Inspection Using Gabor Filters [Elektronische Daten] [D.-M. Tsa, S.-K. Wu] 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.: Springer-Verlag London Limited, 2000 Keywords:Defect detection nationallicence Gabor filter nationallicence Machine vision nationallicence Surface inspection nationallicence Tsa D.-M DepartmentofIndustrialEngineering,Yuan-ZeUniversity,Taiwan, TW aut Wu S.-K DepartmentofIndustrialEngineering,Yuan-ZeUniversity,Taiwan, TW aut https://doi.org/10.1007/s001700070055 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s001700070055 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Tsa D.-M DepartmentofIndustrialEngineering,Yuan-ZeUniversity,Taiwan, TW aut NATIONALLICENCE 700 1- Wu S.-K DepartmentofIndustrialEngineering,Yuan-ZeUniversity,Taiwan, TW aut Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer