Journal of the Optical Society of America. "Mathematical description of the responses of simple cortical cells". CS1 maint: multiple names: authors list ( link)
CONVOLUTION BETWEET IMAGE AND GABOR WAVELET MATLAB CODE CODE
"Emergence of simple-cell receptive-field properties by learning a sparse code for natural images". Furthermore, important activations can be extracted from the Gabor space in order to create a sparse object representation. Relations between activations for a specific spatial location are very distinctive between objects in an image. The Gabor space is very useful in image processing applications such as optical character recognition, iris recognition and fingerprint recognition. For example, it has been used to study the directionality distribution inside the porous spongy trabecular bone in the spine. Gabor filters have also been widely used in pattern analysis applications. It has also been applied for facial expression recognition Gabor filters with different frequencies and with orientations in different directions have been used to localize and extract text-only regions from complex document images (both gray and colour), since text is rich in high frequency components, whereas pictures are relatively smooth in nature.
In document image processing, Gabor features are ideal for identifying the script of a word in a multilingual document. G ( x, y λ, θ, ψ, σ, γ ) = exp ( − x ′ 2 + γ 2 y ′ 2 2 σ 2 ) exp ( i ( 2 π x ′ λ + ψ ) ), we change the support of the basis or the size of the image region being analyzed.Īpplications of 2-D Gabor filters in image processing The two components may be formed into a complex number or used individually. The filter has a real and an imaginary component representing orthogonal directions.
īecause of the multiplication-convolution property ( Convolution theorem), the Fourier transform of a Gabor filter's impulse response is the convolution of the Fourier transform of the harmonic function (sinusoidal function) and the Fourier transform of the Gaussian function. Its impulse response is defined by a sinusoidal wave (a plane wave for 2-D Gabor filters) multiplied by a Gaussian function. ( February 2013) ( Learn how and when to remove this template message) Please help to ensure that disputed statements are reliably sourced. Relevant discussion may be found on Talk:Gabor filter.
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