DocumentCode :
2015431
Title :
Defect characterization and classification for web materials
Author :
Brzakovic, D. ; Beck, H. ; Shanmugam, P.
Author_Institution :
Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN, USA
Volume :
1
fYear :
1993
fDate :
27-30 April 1993
Firstpage :
44
Abstract :
The authors describe a development environment for the design and testing of algorithms for automated defect classification in web materials. The environment includes four subsystems: detection, characterization, feature analysis, and classification. A subsystem consists of a number of algorithms from which a specific algorithm is chosen based on the classification objectives. The subsystems are interconnected using direct and feedback loops. The feedback loops are used when evaluating the performance of algorithms in previous subsystems. An example of defect classification is given, including discussion of the results and specific algorithms used by the characterization, feature analysis, and classification subsystems.<>
Keywords :
classification; feature extraction; feedback; flaw detection; materials testing; performance evaluation; program verification; programming environments; automated defect classification; defect characterization; detection; development environment; feature analysis; feedback loops; performance of algorithms; subsystems; web materials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location :
Minneapolis, MN, USA
ISSN :
1520-6149
Print_ISBN :
0-7803-7402-9
Type :
conf
DOI :
10.1109/ICASSP.1993.319050
Filename :
319050
Link To Document :
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