针对图像背景噪声强的特点，提出了一种基于感兴趣区域(ROI)的结构光条纹中心处理方法，即在ROI内用最大类间方差法进行阈值分割再用重心法进行细化。
Aim at removing the background noise in the large measuring range system (about 2m), a method which combines Otsu based on ROI and gray barycenter method is proposed.
重心法是一种高精度的CCD像点位置提取算法，但由于需要处理的数据量很大，一般用硬件很难实现高采样率和实时性。
Centroid algorithm is a high accuracy method of locate the image point on CCD. But large amount of data need handling, which makes it difficulty to meet the demand of high respondency and real-time.
重心法是一种高精度的CCD像点位置提取算法，但由于需要处理的数据量很大，一般用硬件很难实现高采样率和实时性。
Centroid algorithm is a high accuracy method of locate the image point on CCD. But large amount of data need handling, which makes it difficulty to meet the demand of high respondency and real-time.
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