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多径条件下基于加权空间平滑的阵元幅相误差校正(Multipath based on weighted spatial smoothing array element amplitude and phase error correction)

图像旋转的MATLAB文件，角度可以定义，例子中包含了M源程序以及转换的图片。(MATLAB file image rotation, angle can be defined, for example, contains M as well as the conversion of the image source.)

说明：  一系列关于图像处理的matlab常用源码合集(A collection of common source codes about image processing of MATLAB)

用SIFT算法实现了刚性和非刚性图像的配准 并且效果非常理想 SIFT的特征点的提取 描述 和匹配的算法有注释(Nonrigid Registration Using Free-Form Deformation. )

图像分割是把图像划分成具有实际意义的互补交迭的区域的集合。在图像分割之前，图像区域的数目未知，而在分割后各个区域同时满足均匀性和连通性的条件，故图像分割是一个复杂的过程，目前大多数研究都是针对某一类型图像或者某一具体应用的分割。图像阈值化分割的基本思想是确定一个阈值，然后把每个像素点的像素值和阈值相比较，根据比较的结果把像素划分为两类，前景(1)或背景(0)。该方法的关键是确定一个最优的阈值。常用的阈值确定方法有直接门限法、类间最大方差法(otsu法)、分水岭算法、最小误差法、最大熵法等。该段代码就是图像的阈值分割。(The image segmentation is divided into the practical significance of the emerging area of complementary set. In the image segmentation, before the number of image region, the unknown, and after each area in division at the same time satisfy the uniformity and connectivity condition, so the image segmentation is a complicated process now, most research are for a certain type image or a particular application of the division. Image threshold segmentation of the basic idea is to determine a threshold, then put each pixel threshold value of the pixels and compared, according to the result of the comparison the pixel divided into two categories, the prospect (1) or background (0). This method is the key to determine an optimal threshold. Commonly used method to determine the threshold value of direct threshold method, the largest of the variance between method (otsu method), watershed algorithm, the minimum error method, the maximum entropy method, etc. When the code is image threshold segm)

点云数据（圆柱面）

CODING FOR NEW SEGMENTATION TECHNIQUE

说明：  matlab编写的图像处理程序，用于提取图像的纹理、颜色特征。(matlab image processing procedures to prepare for the extraction of image texture and color features.)

结合维纳滤波的小波降噪方法，滤波效果很好(Combination of Wiener filtering of wavelet noise reduction method, filter works well)

各种信息熵的计算，包括Tsallis 熵，Renyi熵，Shannon熵等，及它们的扩展形式。(The functions include extensive Shannon and nonextensive Tsallis,escort Tsallis,and renyi entropy.)