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