Symbol recognition via statistical integration of pixel-level constraint histograms: a new descriptor.
other · Level V
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Abstract
A new descriptor for symbol recognition is proposed. 1) A histogram is constructed for every pixel to figure out the distribution of the constraints among the other pixels. 2) All the histograms are statistically integrated to form a feature vector with fixed dimension. The robustness and invariance were experimentally confirmed.
Medical subject headings
- Algorithms
- Artificial Intelligence
- Image Interpretation, Computer-Assisted
- Information Storage and Retrieval
- Pattern Recognition, Automated
- Signal Processing, Computer-Assisted
- Subtraction Technique