彩色立体图像匹配算法研究(英文)

Matching Algorithms of a Pairs of Color Stereo Images

立体图像匹配对于自由立体重建、三维测量以及立体显示中图像压缩来说是非常重要的。针对区域灰度互相关图像匹配的计算量大、速度慢的情况,运用了一组快速灰度互相关计算公式,提出了用视差限制搜索空间。同时,针对彩色图像的特点,将彩色图像的色彩信息考虑进图像的匹配过程中,将彩色图像的R、G、B三单色图像分别进行灰度相关匹配,定义并采用了颜色分量权重系数来抑制误匹配点。实验表明,该方法有效地减少了计算量,加快了计算速度,提高了图像匹配精度,具有较好的实时性。该方法将应用于三维立体显示中基于视差图的视差进行图像压缩。

The matching of a pairs of stereo images is very important for auto stereo reconstruction and stereo measurement. In this article, a group of fast grey cross-correlation calculation formula is applied to solve the mass consuming time calculation in process of stereo images matching. And the maximal parallax scope of a pairs of stereo images is used to reduce the search region of matching calculation. At the same time, according to the characteristics of colour images, the colour information is took into account in image matching, and this two color images are split into three monochromatic images （R, G, B）, respectively. And then each monochromatic image is matched respectively. In addition, the colour weight coefficient is adopted to eliminate ambiguity. The experiment results show that the algorithm can reduce the amount of calculation to accelerate the matching calculation speed and the accuracy of image matching is increased. Therefore, the algorithm has well real-time performance and robustness. For purpose, the algorithm will be applied to image compression on based parallax among stereo imagesin three dimensions stereo display.