Identification of a landmark in a roentgenographic cephalogram by employing the wavelet neurons

The paper describes an identification method of a landmark in a roentgenographic cephalogram by employing input-correlated wavelet neurons. For the purpose of improvement of identification precision, a novel pattern matching method, named “wavelet neuron matching (WNM)”, is proposed. Furthermore, the “weighted window”, which is proposed, enables us to consider the orthodontists´ knowledge on local information as precisely as possible. The effectiveness and the validity of the proposed method have been verified by the experiments to identify a landmark called Menton