【摘要】 反求测量中所采集的数据往往包含大量各种形式的噪声干扰。在结构光测量时应用图像特征提取算法提取出测量物体的轮廓特征,利用此特征动态划分图像采集区域,实现图像动态采集。再经过图像分割、二值化、细化等处理最终提取出图像所包含的特征点数据。该方法能够快速高效地去除环境和噪声干扰。实现在反求测量过程中数据的并行处理,极大地简化了后续图像匹配和图像特征数据获取的工作量。更多还原

【Abstract】 There always are varieties of noise jamming in the collection data. In structural light measuring, using image feature extraction technology pick up the profile feature of the measured object, segment, binary-coding and thinning the image, finally scavenge the character points data in the image. This method can wipe off the environment and noise jamming quickly and efficiently, realize parallel processing data in the reverse measuring, much enormously predigest the load later image matching and feature data extraction.更多还原