Title
Image enhancement through intelligent localized fusion operators in the automated visual inspection of highly reflective surfaces
Abstract
The selection of a suitable illumination subsystem is seldom practicable in the automated visual inspection of highly reflective surfaces. The paper presents an algorithmical approach in the form of a framework for enhancing images of objects with such surfaces. This framework is based on the application of so-called Intelligent Localized Fusion Operators (ILFOs), whose formalization is herein undertaken for the first time. Furthermore the guidelines for its implementation are given and different aspects of the resulting pre-processing system are systematically analyzed. The framework successfully performs in the automated visual inspection of different objects presenting highly reflective surfaces, namely headlamp reflectors, plastic bundled packages, and electric bulbs.
Year
DOI
Venue
2008
10.1016/j.inffus.2006.08.003
Information Fusion
Keywords
Field
DocType
suitable illumination subsystem,automated visual inspection,reflective surface,image processing,image enhancement,so-called intelligent localized fusion,electric bulb,headlamp reflector,different aspect,intelligent localized fusion operator,algorithmical approach,fuzzy integral,fuzzy measures,different object,pre-processing system
Computer vision,Visual inspection,Automated X-ray inspection,Image processing,Fusion,Headlamp,Artificial intelligence,Operator (computer programming),Mathematics,Reflective surfaces
Journal
Volume
Issue
ISSN
9
2
Information Fusion
Citations 
PageRank 
References 
1
0.35
13
Authors
2
Name
Order
Citations
PageRank
Aureli Soria-Frisch18311.13
Mario Köppen21405166.06