Spectro-temporal Gabor features based on auditory knowledge have improved word accuracy for automatic speech recognition in the presence of noise. In previous work, we generated robust spectro-temporal features that incorporated the power normalized cepstral coefficient (PNCC) algorithm. The corresponding power normalized spectrum (PNS) is then processed by many Gabor filters, yielding a high d...

We address the problem of texture segmentation in the context of the Gabor feature space of images. Gabor filters which are tuned to different orientations, scales and frequencies are applied to textured images to create the Gabor feature space. We regard the scale, orientation and frequency for which maximum response of the Gabor filters was obtained. A two-dimensional Riemannian manifold of l...

We utilize a recently developed optical imaging method based on Fourier processing with Gabor-like filters to detect changes in light scattering resulting from alterations in mitochondrial structure in endothelial cells undergoing apoptosis. Imaging based on Gabor filters shows a significant decrease in the orientation of subcellular organelles at 60 to 100 minutes following apoptosis induction...

Receptive field structures found in the visual cortex of the mammalian brain resemble Gabor filters. There has been recent interest in the use of such receptive field profiles for image coding and texture processing. Systems employing such Gabor filters have been implemented in software for a variety of applications. We believe a hardware implementation of such cells will b e helpful in artific...

We consider the problem of segmenting multitextured images using multiple Gabor filters. In particular, we present a mathematical framework for a multichannel texture-segmentation system consisting of a parallel bank of filter channels, a vector classifier stage, and a postprocessing stage. The framework establishes mathematical relationships between the predicted texture-segmentation error, th...