Subpixel-level-corner-

我自己做的一个bmp文件进行24位真彩转256灰度和二进制的程序，并能用sobel算法，识别物体的边界。 (I myself make a bmp file for 24-bit true color to 256 gray-scale and binary procedures and sobel algorithm can be used to identify object boundaries.)

梯度下降法的图形表示，里面有详细的中文注释，运行即可看到结果。(Gradient descent graphical representation, which the Chinese have detailed notes, you can see the results running.)

用哈夫曼算法对图像进行压缩， 1.颜色模式转换及采样； 2．DCT变换（离散余弦变换）； 3．量化；4．编码（有算术编码和哈夫曼编码两种，这里采用哈夫曼编码）

采用改进的SURF方法进行特征的提取，相比于SIFT，能获取更多的特征点(With the improved SURF methods for feature extraction, compared to SIFT, can get more feature points)

数字图像处理中的基本形态学处理，如腐蚀、膨胀、开操作、闭操作等实现的源代码。可以自定义结构元素的形状。(Digital image processing in the basic morphology processing, such as corrosion, swelling, open operation and close operation to achieve the source code. You can customize the shape of structural elements.)

三维激光点云配准是点云三维建模的关键问题之一。经典的 ICP 算法对点云初始位置要求较高且配准 效率较低，提出了一种改进的 ICP 点云配准算法。该算法首先利用主成分分析法实现点云的初始配准，获得较好 的点云初始位置，然后在经典 ICP 算法的基础上，采用 k － d tree 结构实现加速搜索，并利用方向向量夹角阈值去除 错误点对，提高算法的效率。实验表明，本算法流程在保证配准精度的前提下，显著提高了配准效率。 (Three-dimensional laser point cloud registration is one of the key three-dimensional point cloud model. High classical ICP algorithm to the initial position of the point cloud registration requirements and low efficiency, proposed an improved ICP point cloud registration algorithm. Firstly, the use of principal component analysis of the initial point cloud registration, get a better initial position of the point cloud, then the basis of classical ICP algorithm using k- d tree structure to achieve speed up the search, and using the direction vector angle the removal of the threshold point error and improve the efficiency of the algorithm. Experiments show that the algorithm processes to ensure the accuracy of registration under the premise, significantly improve the efficiency of registration.)

tiff图像的读取与处理，并且说明清新，有很大的帮助。(The reading and processing of the tiff image, and the description of the fresh, is of great help.)

POCS算法 基本算法 肯定能用经过多次试验保证质量希望能够帮助大家 大家加油(POCS algorithm is sure to be able to use a number of tests to ensure that the quality of the hope can help everyone to refuel)

说明：  Python 分水岭算法 用于图像分割等图像处理(Python watershed algorithm)

用分裂bregman方法解决图像模糊的matlab算法，很经典，大家可以参考一下(Split bregman method to solve the image blurring Matlab algorithm, it is classic, and we can refer to)