Identification of early caries in human tooth using histogram and power spectral analysis
by R. Siva Kumar
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 1, No. 4, 2008

Abstract: This paper deals with the detection of caries in its early stage using histogram and power spectral analysis. The x-ray images of normal and decayed teeth of individuals are analysed using MATLAB signal processing tool. For each image the histogram and power spectrum are calculated. 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.

Online publication date: Mon, 25-Aug-2008

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