作　　者： ; ; ;

机构地区： 九江学院电子工程学院

出　　处： 《计算机应用》 2009年第10期2690-2692,共3页

摘　　要： 通过对现有区域增长算法的研究,提出了改进的区域增长算法,该算法克服了原有算法依赖种子点精度,在平滑区域停止传播,在纹理区域易产生误匹配的缺陷,得到了良好的视差图质量。首先通过对提取的特征点进行匹配,实现对视差空间的采样。然后在视差空间中建立种子点新的传播方式。实验结果证明,该算法能遍历整个视差空间,在整个传播过程中能自动从匹配错误中恢复,在平滑区域和重复纹理区域也能得到良好的匹配效果。 Through the research of the existing region growing method, the authors presented an improved algorithm, which was unlike the existing region growing algorithm that depended on the accuracy of the seeds. The algorithm can continue growing on the smooth region and repetitive patterns region. Firstly, obtain the initial set of seeds in the disparity space by matching the Harris points. Then build the newly growing method in the disparity space. The results demonstrate it can trace out the disparity space. In the growing process, it can rectify the wrong matching automatically, and guarantee matching accuracy and correctness in the smooth and repetitive pattern region.

关 键 词： 区域增长 视差空间 种子点 立体匹配

领　　域： [自动化与计算机技术] [自动化与计算机技术]