Image contrast enhancement for film-based dental panoramic radiography

Suprijanto, Gianto, E. Juliastuti, Azhari, L. Epsilawati
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引用次数: 36

Abstract

The dental panoramic radiography is one of dental imaging that used to visualize the entirety of the maxilla and mandible jaws on the one image planes. Although the direct digital panoramic radiography has been available, however film-based panoramic radiography is still used on the mostly dental clinic and laboratory in Indonesia. The quality of film-based image has significant limitation due to chemical processing and image enhancement cannot be done if required. Therefore, digitized film-based image to digital image was required to allow image enhancements in order to improve the interpretability quality of information in the image. Digitized film-based image is performed using a flatbed scanner on transmission and reflection mode. In this paper, the contrast quality of digital image that scanned using both mode is evaluated based on statistic image characteristic. The results showed that the quality of digitized image using transmission mode is better than using reflection mode. However, if direct digital imaging is used as a gold standard, image enhancement on digitized image is still required. Four methods, i.e. contrast stretching, HE, AHE, and CLAHE are used to attempt improve the quality digitized image. Evaluation of the preference image quality is performed based on objective criterion. The preference image quality for digitized panoramic image can be obtained by using image enhancement based on CLAHE-Rayleigh method, that indicated by the lowest value of mean, standard deviation, RMSE, and average difference and the higher value of NAE and SAE.
基于胶片的牙科全景放射照相的图像对比度增强
牙科全景x线摄影是一种用于在同一图像平面上显示上颌和下颌骨整体图像的牙科成像技术。虽然直接的数字全景放射照相已经可用,但是基于胶片的全景放射照相仍然主要用于印度尼西亚的牙科诊所和实验室。胶片图像的质量受到化学处理和图像增强的严重限制。因此,为了提高图像中信息的可解释性质量,需要将基于胶片的图像数字化为数字图像,从而允许图像增强。利用平板扫描仪在透射和反射模式下对胶片图像进行数字化处理。本文基于统计图像特性,对两种扫描方式下的数字图像的对比度质量进行了评价。结果表明,采用透射模式的数字化图像质量优于采用反射模式的数字化图像质量。但是,如果采用直接数字成像作为金标准,则仍然需要对数字化图像进行图像增强。采用对比度拉伸、HE、AHE和CLAHE四种方法尝试提高数字化图像的质量。基于客观标准对优选图像质量进行评价。基于CLAHE-Rayleigh方法的图像增强可以得到数字化全景图像的首选图像质量,即均值、标准差、RMSE和平均差值最小,NAE和SAE值较高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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