Title :
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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2000. IMTC 2000. Proceedings of the 17th IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-5890-2
DOI :
10.1109/IMTC.2000.848938
