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Classification of nylon 66 impurities using digital image processing
Author(s) -
Brasington Chandis R.,
GadalaMaria F.
Publication year - 1994
Publication title -
journal of applied polymer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.575
H-Index - 166
eISSN - 1097-4628
pISSN - 0021-8995
DOI - 10.1002/app.1994.070530604
Subject(s) - hue , artificial intelligence , image processing , rgb color model , impurity , computer vision , ultraviolet , digital image processing , fluorescence , ultraviolet light , naked eye , materials science , optics , digital image , computer science , computer graphics (images) , chemistry , optoelectronics , physics , image (mathematics) , organic chemistry
Color image processing was used to classify the impurities in nylon 66 that fluoresce when exposed to ultraviolet light. The hue value determined from digitized color images was found to correlate well to the color of the fluorescence as seen by the naked eye. Digital image processing is advantageous over visual observation because it removes the subjectivity from the classification process, and is a relatively simple and inexpensive method compared to other spectroscopic techniques. The hue values of the impurities may provide a quantitative data base that could lead to process improvements. © 1994 John Wiley & Sons, Inc.