Signal classification for automatic industrial inspection
- 1 January 1982
- journal article
- Published by Institution of Engineering and Technology (IET) in IEE Proceedings E Computers and Digital Techniques
- Vol. 129 (3) , 101-106
- https://doi.org/10.1049/ip-e.1982.0021
Abstract
Details of a system designed to inspect web-type products are presented. The sensing device used is a laser scanner, and a brief description of the scanner is given. A set of bandpass filters is proposed as feature extracters. The required characteristics of the filters are determined through digital simulation, using feature selection methods. The linear classifier is designed from a set of training signals. Contextual information is used in the classification of signals into good product or into various defective categories. In addition, results of a study on inspection of magnetic tapes and abrasive sheets are described.Keywords
This publication has 1 reference indexed in Scilit:
- 3 Algorithms for Pattern ClassificationPublished by Elsevier ,1970