Neural Comput - Double-gabor filters are independent components of small translation-invariant image patches.

Tópicos

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Resumo

The analysis of natural images with independent component analysis (ICA) yields localized bandpass Gabor-type filters similar to receptive fields of simple cells in visual cortex. We applied ICA on a subset of patches called position-centered patches, selected for forming a translation-invariant representation of small patches. The resulting filters were qualitatively different in two respects. One novel feature was the emergence of filters we call double-Gabor filters. In contrast to Gabor functions that are modulated in one direction, double-Gabor filters are sinusoidally modulated in two orthogonal directions. In addition the filters were more extended in space and frequency compared to standard ICA filters and better matched the distribution in experimental recordings from neurons in primary visual cortex. We further found a dual role for double-Gabor filters as edge and texture detectors, which could have engineering applications.

Resumo Limpo

analysi natur imag independ compon analysi ica yield local bandpass gabortyp filter similar recept field simpl cell visual cortex appli ica subset patch call positioncent patch select form translationinvari represent small patch result filter qualit differ two respect one novel featur emerg filter call doublegabor filter contrast gabor function modul one direct doublegabor filter sinusoid modul two orthogon direct addit filter extend space frequenc compar standard ica filter better match distribut experiment record neuron primari visual cortex found dual role doublegabor filter edg textur detector engin applic

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