Filter Gabor

G. Gabor and D. R. Walt. 1991. Sensitivity enhancement of fluorescent pH indicators by inner filter... 

Jain, A., and S. Bhattacharjee. 1992. Text segmentation using gabor filters for automatic document processing. Machine Vision Applications 5 169-184. 

R. Porter and N. Canagarajah, Robust Rotation-Invariant Texture Classification Wavelet, Gabor Filter and GMRF Based Schemes, lEE Proc.-Vis. Image Signal Process., 144 (3) (1997), 180-188. 

A robust detection system should be able to provide both frequency and spatial information. While frequency serves to identify the presence of a defect, spatial information is necessary to identify the location of defect. It is well known that the Fourier transform suffers from a lack of spatial information while Gabor filtering methods are very computational expensive since the 2D convolution between the image and filter must be carried out in a sliding window throughout the entire image. These limitations could be eliminated by wavelets. 

Kumar, A. Pang, G. K. H. 2002a. Defect detection in textured materials using gabor filters. IEEE Transactions on Industry Applications 38(2), 425—440. 

Jain, A.K., Farrokhnia, F. 1991. Unsupervised texture segmentation using Gabor filter. Pattern Recognition 1991,24(12) 1167-1186. 

Liu, L. et al. (2010) Categorization of pork quality using Gabor filter-based hyperspectral imaging technology. J. Food Eng, 99 (3), 284-293. 

Keywords Retinal Vessel Detection Preprocessing methods Medical image classification Diabetic retinopathy 2D Gabor wavelets Matched filters... 

Each couple of obtained contrast-enhanced images Imi, Imi and wi, Iw2 is separately preprocessed by a 2D Matched Gaussian Kernel Filtering [10] and a 2D Gabor Wavelet Transformation [16]. 

Section 2). The ID Gabor filter is a band-pass filter constructed by a cosine... 

A similar measure to the Gabor filter bank, Subsection 3.5, may be extracted using the volume reflection spectral (VRS) decomposition [16]. In this approach, the seismic traces are decomposed by a Chebychev polynomial, and the polynomial coefficients are used as spectral components, representing an attribute volume. An example for this is shown in Figure 11. 

The Gabor filter bank produces a set of cubes, which show the frequency characteristics of pseudo-traces orthogonal to the local stratification. The orthogonal pseudo-traces are derived using the local dip and azimuth estimate. 

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