regionbased_seg

应用于fluent的UDF程序，用于修正液滴表面轮廓(The UDF is applied fluent procedures for correcting the droplet surface contour)

说明：  权重自适应图像去噪，根据形态学。效果还行(Weight adaptive image denoising)

k-均值聚类法用于各种图像的聚类、分割问题，希望可以对您有利(k-means clustering method for a variety of image clustering, segmentation)

计算两幅图像联合直方图的matlab小程序。可以用于图像分割及图像互信息的计算(calculated two joint histogram of the image of small Matlab procedures. Can be used for image segmentation and image mutual information calculation)

简化数据模型、减少数据处理时间、提高成型效率。算法无需建立三角面片之间的拓扑关系，可直接进行切片分层，切平面与网格面片所得的交线段也无需排序，节省了生成轮廓线时对交线段重新排序所需的时间，提高了分层处理的效率。(Simplify the data model, and to reduce the data processing time and improve the molding efficiency. Algorithm without establishing the topological relationships between the triangular dough piece, can be directly slice layered tangential plane with the grid cross-segment of the dough piece obtained without sorting, save when the contour line is generated on the cross segment reordering the time required, improve the efficiency of the hierarchical processing.)

一个很有用的SAR图片，可用于SAR图像的目标识别(A very useful SAR image can be used for target recognition SAR image)

实现对辐射校正后的科学数据几何校正以及对角度数据校正，输出控制点文件(The calibration of the scientific data after radiation correction, the correction of the angle data and the output control point files are realized)

本书介绍了图像去模糊化的一些基本的知识，并且主要针对svd和spectral decomposition的去模糊算法进行了介绍，以及对于这些方法的一些提高计算速度的算法进行了详细是介绍(This ebook intruduces some basic knowledge of deblurring, especially the methods of SVD and Spectral Decomposition, and some fast algorithms for the two methods.)

采用归一化互相关的算法进行图像匹配，经过测试非常有效(Normalized cross-correlation image matching, tested very effective)

该程序基于视频统计车流量。该算法通过识别出交通场景图像中复合车辆特征的像素，进行图像分割，并依据提取出来的特征来匹配前后两幅图像中的车辆，从而计算车流量。(The program is based on the video statistics vehicle traffic. The algorithm calculates the traffic volume by recognizing the pixels of the composite vehicle feature in the traffic scene image, segmenting the image, and matching the vehicles in the two images according to the extracted features.)