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→Concept: Normalized or not, either histograms will be concatenated. |
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* Compute the histogram, over the cell, of the frequency of each "number" occurring (i.e., each combination of which pixels are smaller and which are greater than the center).
* Optionally normalize the histogram.
* Concatenate (normalized) histograms of all cells. This gives the feature vector for the window.
The feature vector can now be processed using the [[Support vector machine]] or some other machine-learning algorithm to classify images. Such classifiers can be used for face recognition or texture analysis.
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