Javidi B, Fazlollahi A, Willett P, Réfrégier P
Appl Opt. 1995 Jul 10;34(20):3858-68. doi: 10.1364/AO.34.003858.
The design of an optimum receiver for pattern recognition is based on multiple-alternative hypothesis testing with unknown parameters for detecting and locating a noisy target or a noise-free target in scene noise that is spatially nonoverlapping with this target. The optimum receiver designed for a noise-free target has the interesting property of detecting, without error, a noise-free target that has unknown illumination by using operations that are independent of the scene-noise statistics. We investigate the performance of the optimum receiver designed for nonoverlapping target and scene noise in terms of rotation and scale sensitivity of the input targets and discrimination against similar objects. Because it is not possible in practical systems to have a completely noise-free target, we examine how the performance of the optimum receiver designed for a noise-free target is affected when there is some overlapping noise on the target. The application of the optimum receiver to binary character recognition is described. Computer simulation results are provided.
用于模式识别的最佳接收机的设计基于多择假设检验，其中参数未知，用于在与该目标空间不重叠的场景噪声中检测和定位有噪声的目标或无噪声的目标。为无噪声目标设计的最佳接收机具有一个有趣的特性，即通过使用与场景噪声统计无关的操作，能够无误地检测出照明未知的无噪声目标。我们从输入目标的旋转和尺度灵敏度以及对相似物体的辨别能力方面，研究为非重叠目标和场景噪声设计的最佳接收机的性能。由于在实际系统中不可能有完全无噪声的目标，我们研究当目标上存在一些重叠噪声时，为无噪声目标设计的最佳接收机的性能会受到怎样的影响。描述了最佳接收机在二进制字符识别中的应用。并给出了计算机模拟结果。
