Title | ||
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Image enhancement through intelligent localized fusion operators in the automated visual inspection of highly reflective surfaces |
Abstract | ||
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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 |
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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-Frisch | 1 | 83 | 11.13 |
Mario Köppen | 2 | 1405 | 166.06 |