Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/1664
Title: | Appearance measurement system using fuzzy logic |
Authors: | Kang, H Butler, C Yang, QP Sacerdotte, F Benati, F |
Keywords: | Fuzzy logic;Human factors;Image colour analysis;Knowledge engineering;Visual perception |
Issue Date: | 2000 |
Publisher: | IEEE |
Citation: | IEEE Instrumentation and Measurement Technology Conference, Baltimore, MD, May 2000. pp. 1124-1129 |
Abstract: | To objectively measure the paint appearance on a car body the same as that perceived by customers, this paper presents a novel method to model the paint appearance using fuzzy logic. Three popular parameters, orange peel, metal texture effect and gloss, are used as system input, overall appearance is defined as system output. This fuzzy logic model is fully based on human understanding and expertise The preliminary result shows that this model can well mimic human behavior to reflect the correlation between overall appearance and individual properties of the paint surface. |
URI: | http://bura.brunel.ac.uk/handle/2438/1664 |
DOI: | http://dx.doi.org/10.1109/IMTC.2000.848938 |
ISBN: | 0-7803-5890-2 |
Appears in Collections: | Advanced Manufacturing and Enterprise Engineering (AMEE) Dept of Mechanical and Aerospace Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Appearance measurement system using fuzzy logic.pdf | 591.49 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.