Image enhancement through intelligent localized fusion operators in the automated visual inspection of highly reflective surfaces
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. (c) 2006 Elsevier B.V. All rights reserved.
image enhancement fuzzy integral fuzzy measures image processing