In-camera detection of fabric defects

Author

Baykal, Ibrahim Cem ; Jullien, G.A.

Author_Institution

Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada

Volume

3

fYear

2004

fDate

23-26 May 2004

Abstract

Industrial inspection cameras for Web processes have a very high output video rate. This output data rate can be reduced by preprocessing the video stream inside the camera in order to only send pixels that have a high probability of containing defect information. Co-occurrence matrices are quite successful in detecting structural defects in fabrics; however, they require high processing power. This paper discusses simplification to these algorithms, which are simple enough to fit into a medium-small size FPGA.

Keywords

cameras; fabrics; field programmable gate arrays; image texture; inspection; matrix algebra; Web processes; co-occurrence matrices; data rate; defect information; fabric defects; in-camera detection; industrial inspection cameras; medium-small size FPGA; processing power; structural defects; video rate; video stream preprocessing; Cameras; Computer industry; Electrical equipment industry; Electronics industry; Fabrics; Field programmable gate arrays; Industrial control; Inspection; Machinery production industries; Streaming media;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on

Print_ISBN

0-7803-8251-X

Type

conf

DOI

10.1109/ISCAS.2004.1328901

Filename

1328901