基于相位一致性的可变窗口立体匹配算法

Variable Window Stereo Matching Based on Phase Congruency

匹配窗口大小和形状是影响区域立体匹配算法效果的关键因素之一。根据相位一致性能反映灰度变化快慢情况和抗干扰能力较强的特点,对图像进行相位一致性检测,再根据监测的值确定像素的特性,然后按不同特性采用不同窗口进行匹配,并结合非参量测度和灰度值构成复合费用函数值,得到最终的视差图。实验结果表明,本算法有较好的匹配效果。

The major challenge in area stereo matching algorithms is to find appropriate window size and shape.Phase congruency is robust to noise and can reflect the gray changes.With these benefits,the paper first detected image and determined pixels characteristics according to phase congruency.Then,different window was used to match according to different feature pixels.After using cost function which combined with non-parametric measure and gray va-lue,the final disparity map was obtained.The result of experiment indicates that the algorithm can generate more accurate disparity map.