Gabor filter

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• In image processing, a Gabor filter, named after Dennis Gabor, is a linear filter used for edge detection.
• In the spatial domain, a 2D Gabor filter is a Gaussian kernel function modulated by a sinusoidal plane wave.
• I have implemented a Gabor filter but don't know how to convolve it with the input image so as to get the desired result.
• The first method integrates Gabor filters with labeling algorithm for edge detection and object segmentation.
• Some of the filters learned during training of the first layer of a CNN resemble the Gabor filter.
• Gabor filters are extremely good at extracting features within an image.
• Gabor filters are a traditional choice for obtaining localised frequency information.
• This difficulty can be seen if we look at the transfer function of an even-symmetric Gabor filter in the frequency domain.
• Transfer function of a high bandwidth even-symmetric Gabor filter.
• In this model, scene images are convolved by the multiscale and multiorientation Gabor filters.
• Given a scene image, we firstly convolve it with 2D Gabor filters.
• This is an example of how to create Gabor filters in Fiji using Beanshell scripting.
• Demonstration of a Gabor filter applied to the Leaf sample image.
• This script calculates a set of Gabor filters over the selected image.
• A design patent image retrieval method based on Gabor filter and LBP is proposed in the paper.
• Multi-direction and multi-scale Gabor filters are employed to detect directions of road texture.
• In this paper, we propose the combination of two visual features with the Gabor filters and LBP for music genre classification.
• The algorithm is based on Laplacian pyramid and Gabor filters.
• Texture features generated by Gabor filters have been increasingly considered and applied to image analysis.
• In the paper, Gabor filter is considered as a Gabor atom detector.
• Constructs the Gabor filter with the specified parameters and performs convolution.
• The Log-Gabor filter is able to describe a signal in terms of the local frequency responses.
• Indeed, any application that uses Gabor filters, or other wavelet basis functions may benefit from the Log-Gabor filter.
• Because of this, the Gabor filter is a good method for simultaneously localizing spatial/temporal and frequency information.
• A Gabor filter in the space (or time) domain is formulated as a Gaussian envelope multiplied by a complex exponential.
• Gabor filters are special classes of band pass filters, i.e., they allow a certain ‘band’ of frequencies and reject the others.
• A Gabor filter can be viewed as a sinusoidal signal of particular frequency and orientation, modulated by a Gaussian wave.
• When a Gabor filter is applied to an image, it gives the highest response at edges and at points where texture changes.
• Demonstration of a Gabor filter applied to Chinese OCR.
• Gabor filters are directly related to Gabor wavelets, since they can be designed for a number of dilations and rotations.
• Therefore, usually, a filter bank consisting of Gabor filters with various scales and rotations is created.
• Gabor filters have also been widely used in pattern analysis applications.

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• ID : Q2447890