Identification of Early Caries in Human Tooth Using Histogram and Power Spectral Analysis

2 Abstract: This paper deals with the detection of caries in its early stage using histogram and power spectral analysis. The materials required include X-ray images of normal and decayed teeth of individuals that are analyzed using MATLAB signal processing tool. The x-ray images of normal and decayed teeth of individuals are analyzed using MATLAB signal processing tool. For each image the histogram and power spectrum are calculated. Then a detailed study is made. It is found that, in a histogram the pixel intensities are concentrated in different ranges for normal and decayed teeth. It is also found that there are distinct differences in the spectral components obtained, between normal and decayed teeth. The spectrum of a decayed tooth has high frequency components compared to the spectrum of the normal tooth. Further the GUI implementation makes it simpler and interactive to the user. This method is very useful for the dentists to detect the caries in its early stage.