Pages that link to "Item:Q966847"
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The following pages link to Learning how to extract rotation-invariant and scale-invariant features from texture images (Q966847):
Displaying 9 items.
- A multi-scale and multi-orientation image retrieval method based on rotation-invariant texture features (Q415949) (← links)
- Feature extraction on local jet space for texture classification (Q1618826) (← links)
- Noise robust and rotation invariant framework for texture analysis and classification (Q2335570) (← links)
- Chromatic image classification and recognition based on interest point features (Q3109123) (← links)
- A Learning Algorithm for the Optimum-Path Forest Classifier (Q3637701) (← links)
- Learning Rotation-Invariant Local Binary Descriptor (Q4618935) (← links)
- Holistic learning-based high-order feature descriptor for smoke recognition (Q4632133) (← links)
- $K$-NN Regression to Improve Statistical Feature Extraction for Texture Retrieval (Q5369944) (← links)
- Scale Space and PDE Methods in Computer Vision (Q5706061) (← links)