ImageHistogramEqualization

常用数字图像处理，图像变换等功能的实现，锐化平滑等算法(digital image processing)

仿射变换来实现旋转 (线性变换)，平移 (向量加)，缩放操作 (线性变换)(Affine transformations are implemented by rotation (linear transformation), translation (vector addition), scaling operation (linear transformation))

计算电磁波辐射的FDTD程序源码，基于C++编写，支持MUR和PML边界条件，能计算SAR及天线辐射方向图(FDTD source code based on C++.Various absorbing boundary, include PEC, Mur, PML Calculate Specific Absorption Rate (SAR) Antenna radiation simulation, calculate radiation power.)

vc++图像处理原程序：图片亮度增减源代码(vc original image processing procedures : Photo brightness change source code)

用openCV实现，用Camshift算法实现彩色目标跟踪(openCV,color object tracking usingCamshift)

图像的反卷积 去卷积复原 效果还不错，欢迎下载(image deconvolution image restoration)

像素级融合实现 pca his，brovery加权融合方法，很不错(Pixel level fusion to achieve pca his, brovery weighted fusion method, very good)

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.)

说明：  图像检索的的基于语义的图像检索 纹理图像检索 图像的特征提取方法(Image Retrieval of semantic-based image retrieval image retrieval image texture feature extraction methods)

visualc++6.0 实现图像中圆的检测(circle detection)