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首页> 外文期刊>Journal of the Optical Society of America, A. Optics, image science, and vision >Visual signal detection in structured backgrounds. III. Calculation of figures of merit for model observers in statistically nonstationary backgrounds
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Visual signal detection in structured backgrounds. III. Calculation of figures of merit for model observers in statistically nonstationary backgrounds

机译：结构化背景下的视觉信号检测。三，统计非平稳背景下模型观察者的绩效因数计算

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摘要

Models of human visual detection have been successfully used in computer-generated noise. For these backgrounds, which are generally statistically stationary, model performance can be readily calculated by computing the index of detectability d' from the noise power spectrum, the signal profile, and the model template. However, model observers are ultimately needed in more real backgrounds, which may be statistically non-stationary. We investigated different methods to calculate figures of merit for model observers in real backgrounds based on different assumptions about image stationarity. We computed performance of the nonpre-whitening matched-filter observer with an eye filter on mammography and coronary angiography for an additive or a multiplicative signal. Performance was measured either by applying the model template to the images or by computing closed-form expressions with various assumptions about image stationarity. Results show first that the structured backgrounds investigated cannot be considered stationary. Second, traditional closed-form expressions of detectability calculated from the noise power spectra with the assumption of background stationarity lead to erroneous estimates of model performance. Third, the most accurate way of measuring model performances is by directly applying the model template on the images or by computing a closed-form expression that does not assume image stationarity.
机译：人类视觉检测模型已成功用于计算机生成的噪声中。对于通常在统计上固定的这些背景，可以通过根据噪声功率谱，信号轮廓和模型模板计算可检测性指标d'来轻松计算模型性能。但是，最终在更真实的背景下需要模型观察者，这在统计上可能是不稳定的。我们基于关于图像平稳性的不同假设，研究了不同的方法来计算真实背景下模型观察者的绩效指标。我们在乳房X光检查和冠状动脉造影上计算了带有眼图滤光片的非预增白匹配滤光片观察器对加性或乘性信号的性能。通过将模型模板应用于图像或通过使用关于图像平稳性的各种假设来计算闭式表达式来测量性能。结果首先表明，所研究的结构化背景不能被认为是平稳的。其次，在假设背景平稳的情况下，根据噪声功率谱计算的可检测性的传统封闭形式表达式会导致对模型性能的错误估计。第三，衡量模型性能的最准确方法是直接将模型模板应用到图像上，或者通过计算不具有图像平稳性的闭式表达式。

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