The present paper describes some quality control tools that develop an interactive and on-
line evaluation of industrial products. These tools use pattern recognition techniques in a …

During the last decades, denoising methods have attracted much attention of researchers.
The conventional method for removing the Moire'pattern from images is using notch filters in …

A new multifocus image fusion approach is presented in this paper. First the contourlet
transform is used to decompose the source images into different components. Then, some …

Protein complex prediction approaches are based on the assumptions that complexes have
dense protein–protein interactions and high functional similarity between their subunits. We …

Classifying cork stopper into group required large set of visual features. Selecting an optimal
feature subset from large input feature set speeds up classification task and improve the …

The bilateral filter is a useful nonlinear filter which without smoothing edges, it does spatial
averaging. In the literature, the effectiveness of this method for image denoising is shown. In …

Denoising of coefficients in a sparse domain (eg wavelet) has been researched extensively
because of its simplicity and effectiveness. Literature mainly has focused on designing the …

This paper proposes a spatial feature extraction method based on energy of the features for
classification of the hyperspectral data. A proposed orthogonal filter set extracts spatial …

In this paper, we introduce a new algorithm to deal with the stalling effect in the LMS
algorithm used in adaptive filters. We modify the update rule of the tap weight vectors by …

An efficient despeckling method using a quantum-inspired adaptive threshold function is
presented for reducing noise of ultrasound images. In the first step, the ultrasound image is …