Image Fusion Based Enhancement of Nondestructive Evaluation Systems
نویسندگان
چکیده
Advantages and limitations associated with each nondestructive evaluation (NDE) modality raises a tradeoff in which no single modality can be identified for a particular application. Techniques are presented here that can be used to enhance inspection process based on multi-spectral, multi-temporal, and multi-resolution image fusion. The necessary elements for building an intelligent NDE system based on image fusion are introduced. An application is presented considering the fusion of optical and eddy current images. Developed image evaluation measures (quality metrics) are adopted to cross the gap between subjective and objective evaluation, which is essential to automate NDE systems in industrial environments.
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