| 摘要 |
A digital image texture analyzing method uses (302) the mean ( mu 0) and variance ( sigma 0) of the pixel values of an original image. Further, m x n filtered images are obtained (304) by filtering the original image using predetermined filters, each having a unique combination of one of m scales and one of n orientations, where m and n are predetermined positive integers, and the means ( mu 11, mu 21, ..., mu mn) and variances ( sigma 11, sigma 21,..., sigma mn) of the respective filtered images are calculate (306). A texture descriptor is obtained (308) having the mean ( mu 0) and variance ( sigma 0) of the pixel values of the original image and the means ( mu 11, mu 21, ..., mu mn) and variances ( sigma 11, sigma 21,..., sigma mn) of the respective filtered images obtained in the step (c), as texture features. The texture analyzing method allows image textures to be more accurately analyzed and compared for similarity, even when an image is rotated and/or enlarged or reduced relative to another image. <IMAGE> |
