@article{oai:kyutech.repo.nii.ac.jp:00000050,
 author = {Yamakawa, Takeshi and 山川, 烈 and 内野, 英治 and 森下, 雅子},
 issue = {1},
 journal = {Biomedical fuzzy and human sciences : the official journal of the Biomedical Fuzzy Systems Association},
 month = {Aug},
 note = {本論文では, ニューラルネットワークとファジィテンプレートマッチングを用いたセファロ画像における計測点の抽出について述べる.また, ファジィテンプレートマッチングにおいて, 新たな重み付き類似性測度を提案する.具体的には, まずニューラルネットワークを用いて計測点の大域的探索を行い, その後ファジィテンプレートマッチングにより局所的探索を行う.本手法の有効性は, 実際のセファロ画像への適用により確認された. / This paper describes an extraction of landmarks in a roentgenographic cephalogram by using a neural network and a fuzzy template matching. Two kinds of weighted similarity measures are newly proposed for a fuzzy template matching. The rough region where a landmark is supposed to be located is first found by a neural network. The fuzzy template matching is then performed over this region to find out the exact location of its landmark. The landmark called Sella turcica was successfully found in the actual roentgenographic cephalogram within a permissible error for a practical use.},
 pages = {93--101},
 title = {セファロ画像における重み付き類似性測度を用いた計測点の抽出},
 volume = {2},
 year = {1996},
 yomi = {ヤマカワ, タケシ}
}