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Dental image analysis with different edge detection operators

  • Applications of Radiotechnology and Electronics in Biology and Medicine
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Abstract

This paper analyzes the quality of the six most significant operators to detect the edges through the parameters of the Peak Signal to Noise Ratio (PSNR), signal to noise ratio (SNR), Mean Square Error (MSE) and Entropy over dental images. The analysis results are presented graphically and in tables. Model analysis was performed through the conversion of primary images in the pictures with different edge detection, and analysis of images obtained through the above parameters and varying degrees of bits per pixel (bpp). The analysis shows that operators Pyramid and Roberts give much better results at lower levels of bpp, whilst, according to Entropy of image, best results are being given by Pyramid operator. The study is consisted of two parts: first analyzing the parameters PSNR, SNR and MSE through bpp and afterwards analyzing Entropy images and level of detail.

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Authors and Affiliations

  1. Department of Electronic and Computer Engineering, Faculty of Technical Sciences, University of Pristina, Kneza Milosa 7, Kosovska Mitrovica, Serbia

    R. Ivkovic & M. Petrovic

  2. Ministry of Interior Republic of Serbia, Belgrade, Serbia

    B. Gara

  3. High School of Electrical Engineering and Computers, Belgrade, Serbia

    M. Milosevic

Authors
  1. R. Ivkovic
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  2. M. Petrovic
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  3. B. Gara
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  4. M. Milosevic
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Corresponding author

Correspondence to R. Ivkovic.

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Ivkovic, R., Petrovic, M., Gara, B. et al. Dental image analysis with different edge detection operators. J. Commun. Technol. Electron. 59, 1289–1297 (2014). https://doi.org/10.1134/S1064226914110072

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  • DOI: https://doi.org/10.1134/S1064226914110072

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