The dividing process is recorded by octree , and then we make out the rapid adjacent - field searching algorithm using envelopment - box ' s recursion feature . this algorithm can also kick off some noise - points from the data cloud . it make the consequent process of surface reconstruction more convenience and precise 分割过程采用八叉树来记录，并利用包围盒的递归特性实现了点的邻域的快速搜索算法，同时可以有效地排除噪声点，显著减少了密集散乱数据点云几何建模所花费的时间，提高了建模效率。
This thesis deals with the application of image segmentation to the automatic identification of a bar code image with a complex background . the bar code image is segmented by the program which is coded by vc + + 6 . 0 , then by image erosion , the background such as characters etc is processed , yielding isolated points which are filtered by a median filter . the relative position of the bar code does not change 本论文将图像分割应用在有复杂背景的条码图像自动识别上，运用vc + + 6 . 0编写的程序，处理分割的条码图像，然后用图像腐蚀的方法，处理图像上的文字等背景使其变成一些孤立点，再通过中值滤波去除图像上的噪声点，此时图像中条码的相对位置不变。
Finally , a new 3d surface ranging method based on a digital fringe projection and shifting technique is systematically studied and non - linear rectification algorithms which reduce measurement error is proposed . at the same time , the noise - immune phase unwrapping algorithm is deeply studied and a new algorithm for phase unwrapping of phase map is proposed . experiment make known the algorithm can reduce measurement error , bypass the noise points automatically , solve the problem of the shade sheltering or cavity , overcome the error propagation problem and better results have been obtained 论文最后系统研究了基于数字相移条纹投影曲面三维测量方法，创造性地提出了一种减小测量误差的非线性校正算法，取得了预期的效果；同时对相位去包裹算法进行了较深入研究，提出了一种噪声图像相位去包裹方法；实验表明该方法能减小非线性测量误差，自动避开噪声点和间断点，获得了满意的结果。
Firstly , by the analysis of wavelet multi - scale edge detection principle , and different regulation of wavelet transformation to the noise and edge , we bring up wavelet multi - scale product the edge detection algorithm which can availably repress the noise . especially , the algorithm can effectively recognize the target district at the big scale without considering the accuracy 另外，在实际运用中，根据噪声点在边界点周围的分布规律，对拟合圆曲线的最小二乘法做了一定补充，提高了测量圆参数的精度，使其增强了抗噪能力，并为自动检测和测量提供了依据。
Then the research of image enhancement based on of plateau equalization algorithm and genetic algorithm is done then in this chapter . image segmentation with algorithm of 2d - maximal variance between - class and region growing is accepted to eliminate the background and the isolated noise points which can not be the target 论文在红外目标检测方面,以对经过预处理的图像进行分割为切入点,采用二维类间方差法和局域生长法来进行图像的分割,消除了原始图像中一些不可能为目标的孤立噪声点和大面积的背景区域。
