论文信息 - Matching structural images of the human brain using statistical and geometrical image features

Matching structural images of the human brain using statistical and geometrical image features

The efficacy of using intensity edges, curvature of iso-intensity contours, and tissue classified data for image matching are examined. The image matching problem is formulated in such a way that the different features are handled uniformly, allowing the same code to be used in each instance. The results using both simulated and real brain images indicate that each feature affected and improvement in the correspondence after matching with it.

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