Because existing face recognition systems lack required accuracy when viewpoint, illumination, expression, occlusion, accessories and so on vary considerably, continued research in this field of biometrics is a challenging objective. It is widely accepted that local features in face images are more robust against such distortions and a spatial-frequency analysis is often more desirable to extra...

A novel froth image analysis based production condition recognition method is presented to identify the froth phases under various production conditions. Gabor wavelet transformation is employed to froth image processing firstly due to the ability of Gabor functions in simulating the response of the simple cells in the visual cortex. Successively, the statistical distribution profiles based fea...

This paper presents an object tracking method for object-based video processing which uses a two-dimensional (2-D) Gabor wavelet transform (GWT) and a 2-D golden section algorithm. An object in the current frame is modeled by local features from a number of the selected feature points, and the global placement of these feature points. The feature points are stochastically selected based on the ...

Summary White reflectivity is not a fundamental assumption in the convolutional models. However the deconvolution algorithms should be modified slightly to honour color in the reflectivity series. This color correction is just possible when enough well-log information is available to build a mathematical model for the regional reflectivity. A method for correcting reflectivity color effects in ...

To separate non-ground and ground is the first step of terrain feature classification for remotely sensed LIDAR (LIght Detection And Ranging) data. The LIDAR data, which were captured by airborne laser scanner, contain terrain surface height information. This paper aims to segment non-ground (buildings and high vegetation) from ground (flat field) in hilly urban areas. Gabor wavelets were appli...

In this paper, we evaluate the discriminative power of image features, extracted from subbands of the Gabor Wavelet Transform and the Dual-Tree Complex Wavelet Transform for the classification of zoom-endoscopy images. Further, we incorporate color channel information into the classification process and show, that this leads to superior classification results, compared to luminance-channel base...