Table 5 Accuracy of image categorization achieved using different sets of image features and by the traditional SVM method versus our SCR based method
From: Categorizing biomedicine images using novel image features and sparse coding representation
Features | SVM | SCR |
|---|---|---|
conventional image features | 0.65 | 0.67 |
our novel image features | 0.74 | 0.73 |
conventional image features+ our novel image features | 0.77 | 0.846 |