Image fusion has been emerging as an important area of research. It has attracted many
applications such as surveillance, photography, medical diagnosis, etc. Image fusion …

This paper presents a new adaptive Cuckoo search (ACS) algorithm based on the Cuckoo
search (CS) for optimization. The main thrust is to decide the step size adaptively from its …

This paper proposes a novel method for the fault diagnosis of complex structures based on
an optimized virtual beam-like structure approach. A complex structure can be regarded as a …

Face recognition systems based on'conventional'images have reached a significant level of
maturity with some practical successes. However, their performance may degrade under …

This paper presents a new hybridized population-based Cuckoo search-Gravitational
search algorithm (CS-GSA) for function minimization. The main thrust is to supplement the …

We study face recognition in unconstrained illumination conditions. A twofold contribution is
proposed: First, the robustness of four state-of-the-art algorithms, namely Multi-block Local …

The limited depth of field in optical lenses and camera leads to output images having
nonuniform focus. Fusing the focussed regions from many images of the identical scene …

In the recent times, Finite Impulse Response (FIR) filters are deemed to be the most suitable
model for almost all the adaptive system applications because of its simplicity and assured …

Fault detection and localization techniques are among the prominent technical processes
involved in ensuring reliability. This is particularly true with regard to safety related …