Teeth Segmentation of Bitewing X-Ray Images Using Wavelet Transform

Authors

  • Sina Salimzadeh PhD Applicant
  • Sara Kandulu Girne American University

DOI:

https://doi.org/10.31449/inf.v44i4.2774

Abstract

Within the recent twenty years, the dental X-ray images have widely been employed in forensic odontology for human identification, particularly where mass disasters happen. In this paper, a novel method is proposed for the process of teeth segmentation and individual teeth isolation of Bitewing X-ray radiographs. The main objective of this study is to develop an automatic teeth segmentation approach that can be used in an Automated Dental Identification System (ADIS).The proposed method is based on separating teeth according to edge lines between crowns of teeth. It comprises four phases as image enhancement, edge detection by using wavelet transform, Region of Interest (ROI) definition, and morphological processing. Image enhancement in our case is done by image sharpening using a Butterworth high pass filter. Directional changes of the image and a blurred version of it are obtained by wavelet transform in the second phase. In ROI definition the upper and lower jaws are first separated using the integral intensity projection and then a region containing the desired edge lines are defined. In the final stage, some morphological operations are applied to isolate the teeth based on separating edge lines.The evaluation of the teeth segmentation is measured by isolating accuracy and visual inspection. Experimental results with 90.6% isolation accuracy of total 681 teeth illustrate that the proposed method is more efficient that the existing algorithms.

References

Chunming, L., Huang, R., Ding, Z., Gatenby, C., Metaxas, D., & Gore, J. , "A variational level set approach to segmentation and bias correction of images with intensity inhomogeneity," Medical Image Computing and Computer-Assisted Intervention, pp. 1083-1091, 2008.

Al-sherif, N., Gou, G., & Ammar, H, "A New Approach to Teeth Segmentation," in IEEE International Symposium on Multimedia (ISM), Irvine, 2012.

Nomir, O., & Abdel-Mottaleb, M., " A System for Human Identification from X-ray Dental Radiographs," Pattern Recognition, vol. 38, no. 8, pp. 1295-1305, 2005.

Ølberg, J. V., & Goodwin, M. , "Automated Dental Identification with Lowest Cost Path-Based Teeth and Jaw Separation," Scandinavian Journal of Forensic Science, vol. 22, no. 2, pp. 44-56, 2016.

Abdel-Mottaleb, M., Nomir, O., Nassar, D., Fahmy, G., & Ammar, H., "Challenges of Developing an Automated Dental Identification System," in IEEE 46th Midwest Symposium on Circuits and Systems, Cairo, 2003.

Zhou, J., & Abdel-Mottaleb, M., "A Content-based System for Human Identification Based on Bitewing Dental X-ray Images," Pattern Recognition, vol. 38, no. 11, pp. 2132-2142, 2005.

Fahmy, G., Nassar, D. M., Said, E. H., Chen, H., Nomir, O., Zhou, J., Howell, R., Ammar,H. H., Abdel-Mottaleb, M., & Jain, A. K., "Toward an automated dental identification system (ADIS)," in Proc. Int. Conf. Biometric Authentication, Berlin Heidelberg, 2004.

M. R. Bala, "Image Edge Detection using Discrete Wavelet Transform," International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE), vol. 4, no. 4, pp. 169-175, 2016.

Kumar, K., Mustafa, N., Ping, L. J., Shaikh, R. A., Khan, S. A., & Khan, A., "Image Edge Detection Scheme using Wavelet transform," in 11th IEEE Conference on ICCWAMTIP, Chengdu, 2014.

Gonzalez, R. C., & Woods, R. E., Digital Image Processing, Pearson Education International, 2002.

Said, E., Nassar, D., Fahmy, G., & Ammar, H., "Teeth Segmentation in Digitized Dental X-ray Films Using Mathematical Morphology," IEEE Transactions on Information Forensics and Security, vol. 1, no. 2, pp. 178-189, 2006.

Mahoor, M., & Abdel-Mottaleb, M., "Automatic Classification of Teeth in Bitewing Dental Images," in International Conference on Image Processing, Singapore, 2004.

Said, E., Fahmy, G. F., Nassar, D., & Ammar, H., "Dental X-ray Image Segmentation," Biometric Technology for Human Identification, vol. 5404, pp. 409-418, 2004.

Zhou, J., & Abdel-Mottaleb, M., "Automated Human Identification Based on Dental X-ray Images," Biometric Technology for Human Identification, vol. 5404, pp. 373-380, 2004.

Mahoor, M. H., & Abdel-Mottaleb, M., "Classification and Numbering of Teeth in Dental Bitewing Images," Pattern Recognition, vol. 38, no. 4, pp. 577-586, 2005.

Aeini, F., & Mahmoudi, F., "Classification and Numbering of Posterior Teeth in Bitewing Dental Images," in 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE), Chengdu, 2010.

Noor, N. M., Khalid, N. E. A., Ali, M. H., & Numpang, A. D. A. , "Enhancement of Soft Tissue Lateral Neck Radiograph with Fish Bone Impaction Using Adaptive Histogram Equalization (AHE)," in The 2nd International Conference on Computer Research and Development, Kuala Lumpur, 2010.

Thangavel, K., Manavalan, R., & Aroquiaraj, I. L., "Removal of Speckle Noise from Ultrasound Medical Image based on Special Filters: Comparative Study," ICGST-GVIP Journal, vol. 9, no. 3, pp. 25-32, 2009.

Rahmati, P., Hamarneh, G., Nussbaum, D., & Adler, A., "A New Preprocessing Filter for Digital Mammograms," in International Conference on Image and Signal Processing, Berlin Heidelberg, 2010.

Pushparaj, V., Gurunathan, U., & Arumugam, B., "An Effective Dental Shape Extraction Algorithm Using Contour Information and Matching by Mahalanobis Distance," Journal of Digital Imaging, vol. 26, no. 2, 2013.

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Published

2020-10-12

How to Cite

Salimzadeh, S., & Kandulu, S. (2020). Teeth Segmentation of Bitewing X-Ray Images Using Wavelet Transform. Informatica, 44(4). https://doi.org/10.31449/inf.v44i4.2774

Issue

Vol. 44 No. 4 (2020)

Section

Regular papers

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