Enhancement of Cervical X-ray Radiographs by Using Image Processing Technique

Abstract

Advanced technologist in image processing and analysis are used extensively in x-ray radiograph, working to improve x-ray radiographs, radiograph data are used to gather details from location of the diseases or physiological processes. This study aims to enhance cervical x-ray radiographs by using image processing technique where IDL program were used as platform to enhance the quality of the radiographs. The sampling of this study consist of 50 patient who underwent cervical x-ray radiograph, the study was conducted and taking information from Antalya Medical Center-Khartoum-Sudan, data were collected in the period between April 2017 to October 2017. IDL program techniques such as histogram equalization, filtering radiograph with mean filter, are used on this study to analyzed and enhanced data (cervical x-ray radiographs). The study showed a significant difference between the original radiograph and the radiograph that processed using IDL techniques, in term of contrast by histogram equalization. The contrast was significantly increased and it was the mean before enhancement was 0.38 and it became after filter enhancement 0.34. The mean of the signal in white area before enhancement was 920.2 and became 1308.6 after enhancement. The mean of the noise in white area before enhancement 29.7 and became 36.0 after enhancement. And the mean of signal to noise ratio in white area before enhancement was 29.7 and it became 36.0 after enhancement. Also the mean of the signal in dark area before enhancement was 1996.03 and became after enhancement 2658.6. The mean of the noise in dark area before enhancement was 44.40 and became after enhancement 51.36. And the mean of signal to noise ratio in dark area before enhancement was 44.40 and it became 51.36 after enhancement.