| Autor: |
B. Rajeshwari, K M Keerthana, Hema P Menon, S Keerthi |
| Rok vydání: |
2017 |
| Předmět: |
|
| Zdroj: |
2017 International Conference on Signal Processing and Communication (ICSPC). |
| DOI: |
10.1109/cspc.2017.8305877 |
| Popis: |
Different lifestyle practices of people across various regions are found to have significant effect in the development of tooth structure of an individual. Differences have also been observed in the shape of the same type of tooth. In-order to study these effects it becomes necessary to develop an automated system which can classify the tooth into its corresponding classes. Tooth is generally classified into incisors, canines, molars and premolars. In this paper, classification of tooth type from the dental radiographs has been done using vertical projection profile and shape analysis. The features considered for classification are the number of roots and standard deviation of the dental X-ray image. The proposed method has been tested on radiograph images obtained from anonymous persons. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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