Gabor Filter for Extracting Image Texture Features
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Gabor filter is a classical image processing algorithm used for extracting texture features from images. This algorithm plays a crucial role in the field of image processing. Implementation typically involves creating Gabor kernels with specific frequencies and orientations, then convolving them with input images to capture texture patterns at different scales and directions. Key parameters include wavelength (λ), orientation (θ), phase offset (φ), and bandwidth (γ). I encourage researchers working on this algorithm to engage in discussions with me, as we collaboratively explore more applications and improvements for Gabor filters, such as optimizing kernel parameters for specific texture classes or implementing multi-scale feature fusion techniques.
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