Volume : VI, Issue : VI, June - 2017

IDENTIFICATION OF PREPROCESSING TECHNIQUE FOR ENHANCEMENT OF DENTAL IMAGES

Geetha V, Sunitha S. L

Abstract :

 This paper presents an analysis and identification of image pre–processing techniques suitable for dental images. Pre–processing is one of the preliminary stages used for dental enhancement to aid dentists in dental procedures and diagnosis, and in post–mortem identification. Fourteen image pre–processing techniques are considered here for dental images. These pre–processing techniques are implemented using Matlab. The results obtained are compared on the basis of Peak Signal to Noise Ratio (PSNR) for a set of 60 dental images. A high value of PSNR indicates better suitability of the pre–processing technique for analysis of dental images using image processing. By using 2 way ANOVA, the results have been tested at significant level of 5%. The results shows that the interaction of pre–processing techniques with dental images on PSNR values is significant. By using K–means clustering it has been found that Power–law transformation and Adaptive median filter are giving better enhancement results in terms of achieved PSNR values as compared to other pre–processing techniques analyzed here. These identified pre–processing techniques, chosen carefully may give better results for further analysis of dental images and thereby giving quantitative and qualitative feedback to dental practitioners, for an early detection and diagnosis of dental diseases.

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Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

Geetha V, Sunitha S.L, IDENTIFICATION OF PREPROCESSING TECHNIQUE FOR ENHANCEMENT OF DENTAL IMAGES, INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH : VOLUME-6 | ISSUE-6 | JUNE-2017

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