A Teeth Identification Method based on Fuzzy Recognition
This paper presents a new method based on template recognition and fuzzy recognization. HDM(Hybrid Differential Method) is used to locate the teeth area from a face image, and fuzzy recognition is used to decide if a new teeth image belongs to the face image. 5-6 times of training is done to build up teeth feature set A relative simple tooth feature—the lower part width of central incisor and their relative ratio are adopted as the indicators for locating a baseline. Totally 4 teeth are considered here as the identification targets. The intersections of these 4 incisors with the baseline are calculated and used as the major features of a persons teeth. Experimental membership function and weight factor are used teeth image is preprocessed to get its configuration and to facilitate the matlab auto calculation. Three groups of experiment samples are presented here and results are satisfied.
Pattern recognition teeth recognition membership Junction HDM tooth identification
Junlan Shang Xitao Zheng Yongwei Zhang
Stomatological Dept,the 1st Affiliated Hospital,Basic Medical College,Zhengzhou University Zhengzhou College of Information Technology,Shanghai Ocean University,LinGang New City,Shanghai,201306 China
国际会议
南京
英文
271-275
2010-08-26（万方平台首次上网日期，不代表论文的发表时间）