MODIS_mosaicing

Retinex理论的基础理论是物体的颜色是由物体对长波（红色）、中波（绿色）、短波（蓝色）光线的反射能力来决定的，而不是由反射光强度的绝对值来决定的，物体的色彩不受光照非均匀性的影响，具有一致性，即retinex是以色感一致性（颜色恒常性）为基础的。不同于传统的线性、非线性的只能增强图像某一类特征的方法，Retinex可以在动态范围压缩、边缘增强和颜色恒常三个方面打到平衡，因此可以对各种不同类型的图像进行自适应的增强。(The basic theory of Retinex theory is the color of the object by object for the long wavelength (red), medium (green), short wave (blue) light reflection ability to decide, rather than by the intensity of reflected light of the absolute value to decide, the color of the object under illumination nonuniformity effects, consistent with the Retinex, that is based on color constancy (color constancy based). Different from the traditional linear, nonlinear image enhancement method of only one kind of features, Retinex can be in dynamic range compression, edge enhancement and three aspects of color constancy hit the balance, thus enhancing adaptive to a variety of different types of images can be.)

超分辨率中要使用的分块重叠及恢复，任意像素重合，超简单！(Super-resolution block overlap and recovery, to use in any pixel overlap, super easy!)

超像素分割程序，既有原码，也有可执行程序，验证过，好用。(Super-pixel segmentation procedure, both the original code, there are executable programs, proven, easy to use.)

说明：  使用tensorflow框架搭建神经网络，从单目图像中估计深度值(Using tensorflow framework to build a neural network to estimate depth from monocular images)

用形态学方法和区域增长法进行MRI脑肿瘤图像分割(By morphology and region growing method for MRI brain tumor segmentation)

使用matlab对图像进行超像素分割，附带可执行程序。(Using MATLAB for ultra pixel segmentation of the image, accompanied by executable program.)

Viola-Jones 算法的人脸检测程序，附带检测图片(for detection using Viola-Jones Algorithm. To save Cropped Picture you need to change the folder location.)

图像处理中用于边缘检测图像的边缘连接和边缘拟合的代码(link edge)

此程序代码实现超分辨率图像的重建、复原 联合开发网 - pudn.com

介绍了混合高斯背景建模法提取运动目标的过程，自己写的，比较好理解，付视频一个，用自己的视频也可以(Describes the process of Gaussian mixture background modeling method to extract moving target, write your own, is better understood, paid a video, you can use your own videos)