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源程序为MATLAB代码，主要功能是对干涉SAR数据的基本处理。(The source code for the MATLAB code, the main function is to interferometric SAR data processing.)

能进行基于Arnold算法的正变换和反变换(Arnold-based algorithm to the transformation and anti-transform)

自己设计的GVF模型图像分割程序，改进了初始轮廓的选择方法，快速分割。(GVF model designed image segmentation process to improve the initial outline of the selection method, rapid division.)

实现对鱼眼图像的校正 我自己执行过 可以使用(it can realise the rectification of the fish eye image )

C# 浏览大图片 例子源码

说明：  提取图像的hu矩 使用matlab编写 相当稳定 计算速度较快(image hu moment steadily run fast very good worth trying)

使用K近邻算法对一个2维德样本集进行分类，样本集的分布为混合高斯分布。(K nearest neighbor to use a 2 Verde sample set for classification, the distribution of sample set for mixed Gaussian distribution.)

本程序和实现对一幅包含人脸的bmp图像进行光纤补偿，对人脸区域进行检测实现人眼和人嘴的检测与定位，最后勾绘出人脸的特征以实现人脸检测的目的。(This procedure and implementation of a compensate the fiber contains face of BMP image, the face region detection to realize human eyes and mouth detection and positioning, finally drew out the facial features to achieve the purpose of face detection. )

水下图像增强方法，可以对退化的水下图像进行图像复原，但是对太模糊的水下图像不适用。(a method of underwater images enhancement)

运用harr特征+SRC（稀疏表示）分类实现的一种车辆检测方法，文件中提供了训练和测试车辆图片。由于时间原因，所用haar特征没有优化，维度过高，导致滑窗框图过慢，本代码只输出效果统计数据，以供大家参考学习稀疏表示在车辆检测中的应用。(Using harr feature+SRC (sparse representation) classification to achieve a vehicle detection method, the paper provides a training and test vehicle picture. Due to time reasons, the use of haar feature is not optimized, high dimension, resulting in sliding sash figure is too slow, the effect of the code only output statistics for your reference learning sparse representation in the vehicle detection.)