Flow

OPENCV做图像变形的经典代码啊，适合比较初级的同学看看(OPENCV do image warping the classic code ah, suitable for elementary students to see more)

说明：  全球最新交叉学科，生物医学光学成像，蒙特卡洛粒子模拟，包含常用光学特征计算(The latest global interdisciplinary, biomedical optical imaging, Monte Carlo particle simulation, including the optical characteristics of commonly used terms)

源码包括了常用的图像处理方法，代码详细，适合初学者(Source code, including the commonly used image processing method, the code in detail, suitable for beginners)

探索图像恢复中出现的正则化方法及其理论基础，进一步发展Tikhonov正则化方法，得到图像恢复算法和工程实际中一些病态问题的解，进一步发展已有的数值解 法,(Exploration of image restoration emerged regularization method and its theoretical basis, the further development of Tikhonov regularization method, the image restoration algorithm and engineering solutions of some ill-posed problem, the further development of existing numerical method,)

1、参数初始化； 2、形成边界削波数据； 3、波场初始化； 4、Zmax层波场延拓到深度Zmax-1； 5、Zi+1层波场延拓到深度Zi； 6、重复5，从Iz Nz-1开始，直到Iz 1，得测线上的频率—空间域波场； 7、频率-空间域波场对频率做反傅里叶变换，得时间-空间波场； (1, parameter initialization 2, the formation of boundary clipping data 3, wave field initialization 4, Zmax layer wave field extended to the depth of Zmax-1 5, Zi+1 layer wave field extended to the depth of Zi 6, repeat 5, starting Iz Nz-1 until Iz 1, the frequency of the test line- spatial domain wave field 7, frequency space domain wave field to frequency inverse Fourier transform, time- space field )

对流层与电离层中电波传播的相关问题研究,很好的文章(Troposphere and ionosphere wave propagation issues related to research)

这是用来做直方图匹配的工具，测试过可以实现(Histogram Matching Tool)

说明：  基于稀疏表达的多源图像数据融合，遥感图像融合(Multi-source image data fusion based on sparse expression, remote sensing image fusion)

本程序运用帧间差分法进行运动目标的检测，通过帧间差分法获得差分图像，然后运用数学形态学进行处理，突出运动目标。(This program uses the inter-frame difference method for the detection of moving targets, the difference image obtained through the inter-frame difference method, and then use mathematical morphology processing, highlighting the moving target.)

说明：  用FCM算法实现图像分割(图像源可以是灰度、索引和RGB图像)(FCM image segmentation algorithm (image source can be gray, indexes and RGB images))