色彩空间转换

基于统计算法的红外图像非均匀性矫正算法，场景类算法，实现实时校正(IRFPA NUC)

说明：  实现了三种图像匹配算法 1：归一化互相关匹配算法 2：基于Hausdorff距离的图像匹配算法 3：图像不变矩匹配算法(Three matching algorithms to achieve 1: normalized cross correlation matching algorithm 2: the image matching algorithm based on Hausdorff Distance 3: Image Invariant Moment Matching Algorithm)

本代码比较全面地给出了图像边缘检测常用的各种算法的代码，包括：基于LoG算子边缘检测、基于Canny算子的边缘检测、基于SUSAN算子的边缘检测、基于小波变换模极大值的边缘检测、利用有限冲击响应来提取不同方向边缘、采用灰度形态学膨胀和腐蚀，对图像进行单尺度和多尺度的形态学边缘检测(This code gives a more comprehensive variety of commonly used edge detection algorithm code, including: LoG operator based on edge detection, based on Canny operator edge detection based on SUSAN operator edge detection based on wavelet transform modulus maxima edge detection values ​ ​ using finite impulse response to extract edges in different directions, using grayscale morphological dilation and erosion, the image of the single-scale and multi-scale morphological edge detection)

用于实现基于压缩感知在傅里叶系数域上的图像融合(For image fusion based on compressed sensing in the domain of Fourier coefficients)

针孔模型中单应矩阵的求解 mian函数，测试单应矩阵计算的算法，程序流程如下 1、 读入两个图像。 2、读入4组对应点。 3、调用CalcH函数计算H矩阵。 4、在第一幅图中用鼠标选择一点。 5、调用WarpH函数计算在第二幅图中的对应的。 6、显示结果.(Pinhole model for solving the homography mian functions, test homography computation algorithm, program flow is as follows 1, read the two images. 2, 4 reads the corresponding points. 3, call CalcH function to calculate the H matrix. 4, in the first picture using the mouse to select it. 5, call WarpH function calculation in the second picture in the corresponding. 6 displays the results. )

在成像平台运动的情况下通过对因为平台运动的补偿实现目标运动信息获取(Imaging platform in the case of movement of movement as a platform to achieve the objectives of the compensation information acquisition campaign)

说明：  INSAR相位解缠算法，使用的python语言，枝切法进行相位解缠。(INSAR phase unwrapping algorithm, using python language, branch cut method for phase unwrapping.)

说明：  是一种纹理描述算子用于快速提取图像的纹理特征,应用于医学图像检索,场景分类等.(Is a texture description operator for rapid extraction of texture features, used in medical image retrieval, scene classification.)

灰度图像图像锐化处理，拉普拉斯变换，梯度等(Grayscale image sharpening, Laplace transforms, gradients, etc.)

信息隐藏技术实验教程 源代码 武汉大学出版社出版(Information Hiding Technology Experiment tutorial source code Wuhan University Press)