Fast computation of rotation-invariant image features by an approximate radial gradient transform.
Where this comes from
- Record sourced from PubMed, PMID 23204286.
- Also identified by DOI 10.1109/TIP.2012.2230011.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
We present the radial gradient transform (RGT) and a fast approximation, the approximate RGT (ARGT). We analyze the effects of the approximation on gradient quantization and histogramming. The ARGT is incorporated into the rotation-invariant fast feature (RIFF) algorithm. We demonstrate that, using the ARGT, RIFF extracts features 16× faster than SURF while achieving a similar performance for image matching and retrieval.
Medical subject headings
- Algorithms
- Image Enhancement
- Image Interpretation, Computer-Assisted
- Information Storage and Retrieval
- Pattern Recognition, Automated
- Subtraction Technique