Research Article
DeepLumina: A Method Based on Deep Features and Luminance Information for Color Texture Classification
| DeepLumina -proposed method |
| Step 1. Resize the input RGB images and perform color space transformation to the YIQ model | Step 2. Estimation of luminance images (Y channel images) from YIQ color model | Step 3. Apply step 1 and step 2 images to the pretrained ResNet101 model | Step 4. Extraction of deep or learned feature map from the ResNet101 | Step 5. Classification using a fast linear solver support vector machine |
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