Abstract
Background: Medical imaging uses to clinical evaluation of the dental anatomy and pathology. Billions of images are performed globally. Imaging processing technique is used for helping accuracy of diagnosis by increasing the image quality. The dental images consider as a simple mixture of (unwanted) background information, diagnostic information, and noise.
Aim: This paper is performed to enhance the dental images quality by denoising and detecting the dental structures.
Materials and methods: This study design is experimental study done on dental images who are preliminarily diagnosed as having different oral diseases and is focused on using the image processing techniques to enhance the image quality of dental x-rays (OPG and Periapical) A convenience sampling was done and dental images were collected and then were treated by using MatLab program. Data analysis was done by using MatLab and statistical analysis was done by measuring precision and recall computation frame.
Results: The quantitative analysis had done using both precision and recall computation. The results were 97.7 +/- 8.16. This method presented capacities cumulative of recognition of the dental structures tissue with high precision rate and helps in enhancing the dental images.