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Comparison of Preprocessing Techniques for Dental Image Analysis

[ Vol. 16 , Issue. 7 ]

Author(s):

Arockia Sukanya*, Kamalanand Krishnamurthy and Thayumanavan Balakrishnan   Pages 776 - 780 ( 5 )

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 a hybrid metaheuristic algorithm for dental radiographs achieves 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 a hybrid metaheuristic technique for dental image enhancement.

Keywords:

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

Affiliation:

Department of Instrumentation Engineering, Anna University, MIT Campus, Chennai, Department of Instrumentation Engineering, Anna University, MIT Campus, Chennai, Department of Oral Pathology, Sathyabama University Dental College and Hospital, Chennai

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