Add to ORKGThe performance of a number of texture feature operators is evaluated. The features are all based on the local spectrum which is obtained by a bank of Gabor filters. The comparison is made using a quantitative method which is based on Fisher’s criterion. It is shown that, in general, the discrimination effectiveness of the features increases with the amount of post-Gabor processing
Texture feature extraction operators, which comprise linear filtering, eventually followed by post-p...
Texture feature extraction operators, which comprise linear filtering, eventually followed by post-p...
Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are ...
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 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...
Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are ...
Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are ...
Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are ...
Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are ...
Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are ...
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...
Texture feature extraction operators, which comprise linear filtering, eventually followed by post-p...
Texture feature extraction operators, which comprise linear filtering, eventually followed by post-p...
Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are ...
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 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...
Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are ...
Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are ...
Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are ...
Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are ...
Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are ...
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...
Texture feature extraction operators, which comprise linear filtering, eventually followed by post-p...
Texture feature extraction operators, which comprise linear filtering, eventually followed by post-p...
Texture features that are based on the local power spectrum obtained by a bank of Gabor filters are ...