Appearance measurement system using fuzzy logic

Author

Kang, Haizhuang ; Butler, Clive ; Qingping Yang ; Sacerdotti, Franco ; Benati, Fabrizio

Author_Institution

Dept. of Syst. Eng., Brunel Univ., Uxbridge, UK

Volume

2

fYear

2000

fDate

2000

Firstpage

1124

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

Keywords

fuzzy logic; human factors; image colour analysis; knowledge engineering; visual perception; appearance measurement system; car body paint; fuzzy logic model; gloss input parameter; human behavior; metal texture effect input parameter; multi-input nonlinear problem; orange peel input parameter; paint appearance; paint colour appearance; paint surface properties; Apertures; Automotive engineering; Biological system modeling; Fuzzy logic; Geometrical optics; Humans; NIST; Optical films; Paints; Visual perception;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 2000. IMTC 2000. Proceedings of the 17th IEEE

Conference_Location

Baltimore, MD

ISSN

1091-5281

Print_ISBN

0-7803-5890-2

Type

conf

DOI

10.1109/IMTC.2000.848938

Filename

848938