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This paper presents a development of the boundary contour method (BCM) for magneto-electro-elastic media.
Therefore, the orthogonal relations are reserved in the boundary contour integration.
The present method is robust for a general smooth boundary contour.
For both protocols, the weak eye receives a half-image with strong grating feature and boundary contour.
These boundary contour configurations ensure that the weak eye remains dominant while the strong eye is suppressed during training.
Many industrial applications of machine vision allow objects to be identified and classified by their boundary contour or silhouette.
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Texture segmentation can be used to find the boundary contours of the objects.
Only the reachable boundary contours are extracted as frontiers.
The discretization of the boundary contours is performed by quadratic isoparametric elements.
Firstly, NURBS (Non-Uniform Rational B-Spline -based curves were introduced to represent the B-Spline -basedrs of sliced layers to keep the high-fidelity information of original models.
Instead, we used the specific configurations of the boundary contours of the binocular competitive stimulus to render the strong eye suppressed.
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