Fiete R D, Barrett H H, Smith W E, Myers K J
J Opt Soc Am A. 1987 May;4(5):945-53. doi: 10.1364/josaa.4.000945.
The Hotelling trace criterion (HTC) is used to find a set of linear features that optimally separate two classes of objects. The objects used in our study were simulated livers with and without tumors, with noise, blur, and object variability. Using the receiver-operating-characteristic parameter da as our measure, we have found that the ability of the HTC to separate these objects into their correct classes, by detecting the presence or absence of a tumor, has a correlation of 0.988 with the ability of humans to separate the same two classes of objects. This suggests, therefore, that the HTC can be used as a figure of merit for optimizing system parameters, since it calculates a single, scalar figure of merit that has a high correlation with human-observer performance.
霍特林迹准则（HTC）用于寻找一组能最佳区分两类物体的线性特征。我们研究中使用的物体是带有和不带有肿瘤的模拟肝脏，存在噪声、模糊以及物体变异性。以接收器操作特性参数da作为我们的衡量标准，我们发现HTC通过检测肿瘤的有无将这些物体正确分类的能力与人类区分同一两类物体的能力的相关性为0.988。因此，这表明HTC可作为优化系统参数的品质因数，因为它计算出一个与人类观察者表现高度相关的单一标量品质因数。
