Automatic Cephalometric Analysis Using Active Appearance Model and Simulated Annealing
نویسنده
چکیده
This paper describes unifying Active Appearance Model and Simulated Annealing for automatic Cephalometric analysis. A complete model of shape and texture was built from a dataset of manually annotated images, and then tested with unseen images. A comparison with Active Shape Models was presented. Twenty randomly selected cephalograms were used for training and seven cephalograms for testing. 25% accuracy improvement over Active Shape Model. Suggestions to improve the accuracy and speed were presented.
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