【摘要】 为减小人为因素对三角方向鉴别测量的影响,有效提高测量效率,研究了以机器视觉系统替代观察者进行三角方向鉴别测量的途径,建立了一种专门针对三角方向鉴别测量的客观判别模型。该模型以人眼视觉系统对信号的处理过程以及人眼视觉系统的主要效应为基础,利用方向通道滤波器实现图像信号分解,通过计算视觉特征矢量相关度,实现三角形靶标方向的判别。结合凝视型成像系统虚拟样机提供的三角形靶标,进行了客观判别模型与观察者的判别性能对比实验,并给出三组不同靶标尺寸下的对比实验结果。实验结果表明,客观判别模型很好地预测了观察者的判别性能。更多还原

【Abstract】 To reduce the influence of factitious factors on triangle orientation discrimination (TOD) threshold measurement and so enhance the measurement efficiency,a machine vision system to perform TOD instead of human observers was studied,and an objective discrimination model (ODM) for TOD was developed.Based on the main effect and course of signal processing of human visual system (HVS),ODM uses oriented filters to extract essential information from image-signal and discriminate the orientation of a triangle by comparing the visual character vectors with standard ones.With the triangle images generated by the virtual staring imaging system,experiments were held to compare the performance of ODM with human observers’ one.Three groups of experimental results of different triangles size were given and the results show that ODM can predict the observers’ performance well.更多还原