提出了一种基于图像自动识别方法的自动测试方法,用于验证航电系统飞行参数显示结果。该方法通过图像处理和神经网络技术,针对某些飞行参数在航电系统显示位置较为固定的特点,在较小的计算量和时间代价下,将现有的通过人工完成的参数显示验证问题由计算机自动完成。经试验测试,采用该方法,可以显著提高参数显示验证过程的工作效率及准确率。%An automatic test method based on automatic image recognition was proposed to verify lfight parameters displayed on avonic system. Using image processing and neural network technology, this method takes the advantage of ifxing parameters displaying position and turns naked-eye recognition into automatic in shorter time and lower compute cost. Experiment analysis shows that this method dramatically free the labor for verifying accuracy of the displaying parameters.
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