Name
Abstract | ||
|---|---|---|
A method for characterizing the surface of a test object on the basis of its oscillatory behaviour is presented. The basic principle of the method is the excitation of oscillations in a small surface element on the elastic solid under investigation and the appropriate measurement of the reaction to this excitation. After calculation of the Fourier transform, a total of 400 magnitude values of the oscillation are available as characteristic features for the classification of an unkown surface. For testing the measuring system experiments were conducted on various test objects and the results of measurements performed on different tooth surface are presented. The automatic classification of tooth surface is important for the detection of the cementoenamel junction in parodontological practice and the soft removal of dental calculus. Because in this application the spectra are subject to severe fluctuations by variations in the test object a fuzzy classifier with weighted distance function is employed for the automatic classification. For solving the essential problem of selecting from a total of 400 spectral features those which appear to be suited for the respective classification problem, a new feature selection algorithm is presented. The highly successful result of these experiments indicates possibilities of applying new diagnostic and therapeutic instruments in the field of periodontology. |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1016/0165-0114(95)00352-5 | Fuzzy Sets and Systems |
Keywords | Field | DocType |
pattern recognition,automatic detection,fuzzy-pattern recognition,feature selection,different teeth substance,fuzzy-logic,medicine,measurement system,fuzzy logic,distance function,fourier transform,oscillations | Magnitude (mathematics),Oscillation,Pattern recognition,Feature selection,Test object,Fuzzy logic,Fourier transform,Cementoenamel junction,Artificial intelligence,Mathematics,Machine learning,Fuzzy pattern recognition | Journal |
Volume | Issue | ISSN |
85 | 2 | Fuzzy Sets and Systems |
Citations | PageRank | References |
5 | 0.68 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jens Strackeljan | 1 | 5 | 1.69 |
| Dietrich Behr | 2 | 5 | 0.68 |
| Thomas Kocher | 3 | 5 | 0.68 |