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Comparison of Preprocessing Techniques for Dental Image Analysis.

Arockia Sukanya¹, Kamalanand Krishnamurthy¹, Thayumanavan Balakrishnan²

¹Department of Instrumentation Engineering, Anna University, MIT Campus, Chennai, India.

Current Medical Imaging

|October 16, 2020

Summary

This study enhanced dental radiographs using preprocessing techniques. A hybrid metaheuristic algorithm significantly improved image quality, achieving higher performance measures for dental disorder analysis.

Keywords:

Radiographs X-rays dental image dental radiography hybrid metaheuristic image enhancement

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Published on: April 29, 2014

Area of Science:

Dentistry
Medical Imaging
Image Processing

Background:

Dental disorders like lesions and carries affect teeth.
Dental radiography captures X-ray images for analysis.
Image preprocessing is crucial for accurate dental image analysis.

Purpose of the Study:

To evaluate preprocessing techniques for dental radiographs.
To enhance dental radiographic images for better disorder detection.
To compare the performance of different image enhancement methods.

Main Methods:

Applied unsharp masking with a high-pass filter.
Utilized bi-level histogram equalization.
Implemented a hybrid metaheuristic algorithm for image enhancement.

Main Results:

The hybrid metaheuristic technique outperformed other enhancement methods.
Achieved an average Peak Signal-to-Noise Ratio (PSNR) of 21.6.
Demonstrated superior performance measures for dental radiographs.

Conclusions:

Hybrid metaheuristic algorithms are effective for dental image enhancement.
Improved image quality aids in the analysis of dental disorders.
Preprocessing is vital for accurate dental radiography interpretation.