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elastic matching
Elastic matching is a computational technique in computer vision and image processing used to align two or more images or geometric shapes by determining a continuous, non-rigid spatial transformation between them. Unlike rigid registration methods that only permit uniform global translations and rotations, elastic matching models the mapping as a flexible deformation field capable of adjusting for complex local distortions and structural variations. The procedure is typically formulated as a variational optimization problem that balances image similarity against a regularization or deformation energy penalty, which discourages excessive distortion, topological tearing, or folding. By enforcing smoothness constraints, physical elasticity principles, or diffeomorphic properties on the transformation, elastic matching produces coherent, structure-preserving correspondences that are widely used in medical image registration, computational anatomy, and deformable shape analysis.
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