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Current vision systems are designed to perform in normal weather condition. However, no one can escape from severe weather conditions. Bad weather reduces scene contrast and visibility, which results in degradation in the performance of various computer vision algorithms such as object tracking, segmentation and recognition. Thus, current vision systems must include some mechanisms that enable them to perform up to the mark in bad weather conditions such as rain and fog. Rain causes the spatial and temporal intensity variations in images or video frames. These intensity changes are due to the...

Every year lives and properties are lost in road accidents. About one-fourth of these accidents are due to low vision in foggy weather. At present, there is no algorithm that is specifically designed for the removal of fog from videos. Application of a single-image fog removal algorithm over each video frame is a time-consuming and costly affair. It is demonstrated that with the intelligent use of temporal redundancy, fog removal algorithms designed for a single image can be extended to the real-time video application. Results confirm that the presented framework used for the extension of the...

This volume combines the proceedings of two prominent symposia presented by TMS's Materials Processing and Manufacturing Division (MPMD).

Papers from the Surfaces and Interfaces in Nanostructured Materials Symposium bring together experts working on different aspects of study, such as fabrication, characterization, modification, and modeling, to identify and address important issues, such as structure-chemistry-property relationships; surface engineering approaches in the nanoscale regime; chemistry and atomic bonding at interfaces; kinetics, diffusion paths, and related effects at...