Digital image processing: effect on detectability of simulated low-contrast radiographic patterns.
Digital image processing: effect on detectability of simulated low-contrast radiographic patterns.
复制标题
数字图像处理：对模拟低对比度射线照相图案的可检测性的影响。
DOI：
10.1148/radiology.150.2.6691118
复制
发表时间：
1984
期刊：
影响因子：
19.7
通讯作者：
Lehr,JL
中科院分区：
文献类型：
--
作者：
Ishida,M;Doi,K;Loo,LN;Metz,CE;Lehr,JL
利用高质量的数字图像处理系统对模拟的低对比度X线图像进行检测研究。原始图像，准备与传统的屏幕电影系统，数字处理，以提高对比度的“窗口”技术。模拟模式的可检测性量化的观察者性能实验的结果，通过使用多个替代的强制选择方法。处理后的图像表现出显着增加观察者检测性能的原始图像。这些结果与来自信号检测理论的显示和感知的信噪比有关。可检测性的改善归因于图像处理后人类观察者的“内部”噪声的相对幅度的减少。阈值信号对比度对对象大小和噪声水平的测量依赖性由包括内部噪声的统计决策理论模型来解释。
Detection studies of simulated low-contrast radiographic patterns were performed with a high-quality digital image processing system. The original images, prepared with conventional screen-film systems, were processed digitally to enhance contrast by a "windowing" technique. The detectability of simulated patterns was quantified in terms of the results of observer performance experiments by using the multiple-alternative forced-choice method. The processed images demonstrated a significant increase in observer detection performance over that for the original images. These results are related to the displayed and perceived signal-to-noise ratios derived from signal detection theory. The improvement in detectability is ascribed to a reduction in the relative magnitude of the human observer's "internal" noise after image processing. The measured dependence of threshold signal contrast on object size and noise level is accounted for by a statistical decision theory model that includes internal noise.