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The statistical orientation features are further obtained by the histogram of orientation features.
Orientation features are obtained from edges in the image.
The commonly used features in fingerprint segmentation include gray-level features, orientation features, frequency domain features, and so forth.
Horizontal and vertical fragments are obtained by the dominant orientation features and the symmetry feature introduced in Section 4.2, respectively.
Second, the statistical structure features are calculated as the complementary information of orientation features for quality prediction of degraded SCIs.
First, we extract orientation features to compute the visual distortion of degraded SCIs by orientation selectivity mechanism.
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Reliable orientation feature extraction and efficient matching are the two most crucial problems in orientation based coding approaches.
For example, the Itti model makes the output of the Gabor filter in four different directions become the orientation feature.
That orientation feature will come in handy when you are coming out of a subway station in an unfamiliar stop, or exiting a building.
The orientation feature maps of the depth video are obtained from absolute CSD network [27] between the depth orientation-selective channels (9).
Finally, the orientation feature map and the intensity feature map are normalized and combined to form a depth saliency map as (11).
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