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Comparison of Preprocessing Techniques for Dental Image Analysis

Author(s):

Arockia Sukanya*, K. Kamalanand and B. Thayumanavan   Pages 1 - 6 ( 6 )

Abstract:


Various dental disorders such as lesions, masses, carries etc., may affect the human dental structure. Dental radiography is a technique, which passes X-rays through dental structures and records the radiographic images. These radiographic images are used to analyze the disorders present in the human teeth. Preprocessing is a primary step to enhance the radiographic images for further segmentation and classification of images. In this work, the preprocessing techniques such as unsharp masking using high pass filter, bi-level histogram equalization and hybrid metaheuristic have been utilized for dental radiographs. The performance measures of the preprocessing techniques were analyzed. Results demonstrate that hybrid metaheuristic algorithm for dental radiographs achieve higher performance measures when compared to other enhancement methods. An average Peak Signal- to- Noise Ratio (PSNR) value of 21.6 was observed in the case of hybrid metaheuristic technique for dental image enhancement.

Keywords:

Radiographs, dental radiography, image enhancement, hybrid metaheuristic.

Affiliation:

Department of instrumentation Engineering, MIT Campus, Anna University, Chennai, Department of instrumentation Engineering, MIT Campus, Anna University, Chennai, Department of oral pathology, Sathyabama University Dental College and Hospital, Chennai



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