Used for fingerprint detection, etc. Using the gradient direction of image to get local leading direction. Principal Component Analysis (PCA), contains a gaussian pyramid stratification, SVD singular value decomposition, containing test image.

Codes&Images\45degree.jpg
............\arch_h.jpg
............\Average_Orientation.m
............\BlkSVDOrient.m
............\BuildPyramid.m
............\circue2.jpg
............\CreateTestImage.m
............\DoubleAngleOrient.m
............\F3_8.m
............\F4_3.m
............\F4_4.m
............\F4_6.m
............\F4_7.m
............\F5_12.m
............\F5_13.m
............\F5_15.m
............\F5_16.m
............\F5_17.m
............\F5_19.m
............\F5_20.m
............\F5_22.m
............\F5_5.m
............\F5_6.m
............\fingerprint.jpg
............\fprint.jpg
............\noisy_feature.jpg
............\OrientedEnergy.m
............\OrientEst.m
............\Pyramid.m
............\RWOrientEst.m
............\RW_MultiResolutionEst.m
............\ShowOrientation.m
............\ShowPyramid.m
............\SVD_Orientation.m
Codes&Images

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