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Automatic characterization of electro-optical sensors with iamge-processing, using the Triangle Orientation Discrimination (TOD) method

机译:使用三角方向判别(TOD)方法对具有图像处理功能的电光传感器进行自动表征

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The objective characterization of electro-optical sensors and that of iamge enhancement techniques has always been a difficult task. Up to now the sensor is characterized using the minimum resolvable temperature difference (MRTD) or the minimum resolvable contrast (MRC). The performance of iamge enhancement techniques is done by visual inspection by a human observer. Since in more and more cameras some kind of image processing is applied, a more elaborate test is needed that can measure the performance of the combination of the sensor and the image processing. A good candidate is the TOD (Triangle Orientation Discrimination) method, which is developed as an alternative for MRTD and the MRC methods. We are investigating how the standard TOD-method can be extended to cameras with image processing and whether these measurements can be automated.
机译:电光传感器的目标表征和图像增强技术的目标表征一直是一项艰巨的任务。到目前为止,使用最小可分辨温度差(MRTD)或最小可分辨对比度(MRC)来表征传感器。图像增强技术的性能是由人类观察者通过目视检查来完成的。由于在越来越多的照相机中应用了某种图像处理,因此需要一种更复杂的测试来测量传感器和图像处理相结合的性能。一个很好的候选者是TOD(三角取向识别)方法,它是MRTD和MRC方法的替代方法。我们正在研究如何将标准TOD方法扩展到具有图像处理功能的相机,以及这些测量是否可以自动化。

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