Multi-resolutional gabor filter in texture analysis

The gabor filter approach is recently used in texture analysis. Among the existing applications, people convolve the given texture image with a set of gabor filters with some user-specified parameters. The convolution takes a lot of time because of the large image size and the computational complexity. This paper utilizes the concept of multi-resolution with parameter selection to do texture analysis. The computation time can be significantly reduced by diminishing the image size according to several different sets of parameters. Experiments demonstrate that our strategy is quite efficient compared with the traditional gabor filter.