[[abstract]]Gabor transform has recently been exploited to do texture analysis, including texture edge detection, texture segmentation/discrimination, and texture synthesis. For most of the applications using Gabor transform, people convolve the given texture image with a set of Gabor filters with some user specified parameters. Although the mathematical formulation of applications involve the Fourier transform, few have investigated mathematical properties of the relationship between Gabor filters and their Fourier transform. This paper mainly studies mathematical properties of real Gabor filters and their corresponding Fourier transform. The goal is to select a set of `interesting' Gabor filters, or say, a set of parameters for Gabor filt...
The performance of a number of texture feature operators is evaluated. The features are all based on...
The performance of a number of texture feature operators is evaluated. The features are all based on...
The paper introduces a new method of texture segmentation efficiency evaluation. One of the well kno...
Spatial-frequency methods have been extensively and successfully employed by many computer vision re...
Gabor features are a common choice for texture analysis. There are several pop-ular sets of Gabor fi...
6 pages in IEEE formatThis paper presents an empirical comparison of two texture descriptors reporte...
6 pages in IEEE formatThis paper presents an empirical comparison of two texture descriptors reporte...
6 pages in IEEE formatThis paper presents an empirical comparison of two texture descriptors reporte...
6 pages in IEEE formatThis paper presents an empirical comparison of two texture descriptors reporte...
[[abstract]]The gabor filter approach is recently used in texture analysis. Among the existing appli...
Abstract. A 2D Gabor filter can be realized as a sinusoidal plane wave of some frequency and orienta...
In this correspondence, we propose a novel method for efficient image analysis that uses tuned match...
Gabor filtering is a widely adopted technique for texture analysis. The design of a Gabor filter ban...
This letter introduces a novel approach to rotation and scale invariant texture classification. The ...
The paper introduces a new method of texture segmentation efficiency evaluation. One of the well kno...
The performance of a number of texture feature operators is evaluated. The features are all based on...
The performance of a number of texture feature operators is evaluated. The features are all based on...
The paper introduces a new method of texture segmentation efficiency evaluation. One of the well kno...
Spatial-frequency methods have been extensively and successfully employed by many computer vision re...
Gabor features are a common choice for texture analysis. There are several pop-ular sets of Gabor fi...
6 pages in IEEE formatThis paper presents an empirical comparison of two texture descriptors reporte...
6 pages in IEEE formatThis paper presents an empirical comparison of two texture descriptors reporte...
6 pages in IEEE formatThis paper presents an empirical comparison of two texture descriptors reporte...
6 pages in IEEE formatThis paper presents an empirical comparison of two texture descriptors reporte...
[[abstract]]The gabor filter approach is recently used in texture analysis. Among the existing appli...
Abstract. A 2D Gabor filter can be realized as a sinusoidal plane wave of some frequency and orienta...
In this correspondence, we propose a novel method for efficient image analysis that uses tuned match...
Gabor filtering is a widely adopted technique for texture analysis. The design of a Gabor filter ban...
This letter introduces a novel approach to rotation and scale invariant texture classification. The ...
The paper introduces a new method of texture segmentation efficiency evaluation. One of the well kno...
The performance of a number of texture feature operators is evaluated. The features are all based on...
The performance of a number of texture feature operators is evaluated. The features are all based on...
The paper introduces a new method of texture segmentation efficiency evaluation. One of the well kno...