Surface plasmon resonance (SPR) imaging sensors realize label-free, real-time, highly
sensitive, quantitative, high-throughput biological interaction monitoring and the binding …

This paper proposes a novel method to detect fire and/or flames in real-time by processing
the video data generated by an ordinary camera monitoring a scene. In addition to ordinary …

We introduce a very fast and reliable method for shape similarity retrieval in large image
databases which is robust with respect to noise, scale and orientation changes of the …

In many applications, the user of an image database system points to an image, and wishes
to retrieve similar images from the database. Computer vision researchers aim to capture …

Together with temperature, pressure is one of the most important physical quantities in our
environment. Pressure is a significant parameter in such varied disciplines as …

Video surveillance has long been in use to monitor security sensitive areas such as banks,
department stores, highways, crowded public places and borders. The advance in …

The enormity of the problem of deteriorating pipeline infrastructure is widely apparent. Since
a complete rebuilding of the piping system is not financially realistic, municipal and utility …

A new approach to edge detection in images corrupted by impulsive noise is presented. The
proposed method adopts fuzzy reasoning in order to extract edges without being deceived …

In this paper we present an instance based machine learning algorithm and system for real-
time object classification and human action recognition which can help to build intelligent …

This article presents a new solution to segment and quantify the microstructures from images
of nodular, grey, and malleable cast irons, based on an artificial neural network. The neural …