Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10361763 | Pattern Recognition Letters | 2011 | 13 Pages |
Abstract
⺠We use the steered Hermite transform to obtain rotation-invariant texture features. ⺠A feature selection strategy determines the filters with better classification power. ⺠Feature selection and dimension reduction was based on the augmented variance ratio. ⺠We evaluate classification accuracy for some kinds of texture features. ⺠The first successive orders of the Hermite transform increase classification power.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Alfonso Estudillo-Romero, Boris Escalante-Ramirez,