9 September 1994 Matching structural images of the human brain using statistical and geometrical image features
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Proceedings Volume 2359, Visualization in Biomedical Computing 1994; (1994) https://doi.org/10.1117/12.185179
Event: Visualization in Biomedical Computing 1994, 1994, Rochester, MN, United States
Abstract
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James C. Gee, Christian Barillot, Lionel Le Briquer, David R. Haynor, Ruzena K. Bajcsy, "Matching structural images of the human brain using statistical and geometrical image features", Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); doi: 10.1117/12.185179; https://doi.org/10.1117/12.185179
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