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根据相机的指向数据，实现对亮星星表9110颗星在探测器上的模拟投影，得到序列星图(According to the data of the camera, to achieve the Bright Star Catalogue 9110 stars on the detector simulation projection to obtain sequence star map)

说明：  能将256色图像转换为黑白图像，程序简单易行，适合初学VC者练笔。(Able to convert 256-color image black and white images, the program is simple, suitable for beginners who Lianbi VC.)

实现非监督的FCLS算法进行高光谱图像端元提取(Unsupervised FCLS algorithm)

批量图片合并源码

采用最大方差阈值分割法，对指纹进行提取。(Using the maximum variance threshold segmentation method for fingerprint extraction.)

混合高斯模型使用K（基本为3到5个） 个高斯模型来表征图像中各个像素点的特征,在新一帧图像获得后更新混合高斯模型,用当前图像中的每个像素点与混合高斯模型匹配,如果成功则判定该点为背景点, 否则为前景点。通观整个高斯模型，他主要是有方差和均值两个参数决定，,对均值和方差的学习,采取不同的学习机制,将直接影响到模型的稳定性、精确性和收敛性。由于我们是对运动目标的背景提取建模，因此需要对高斯模型中方差和均值两个参数实时更新。为提高模型的学习能力,改进方法对均值和方差的更新采用不同的学习率 为提高在繁忙的场景下,大而慢的运动目标的检测效果,引入权值均值的概念,建立背景图像并实时更新,然后结合权值、权值均值和背景图像对像素点进行前景和背景的分类。(Gaussian mixture model using K (essentially 3-5) Gaussian model to characterize the features of each pixel in the image, in the image of the new frame for updated Gaussian mixture model, with each pixel in the image with a Gaussian mixture current model matching, if successful, determined that the point of the background points, otherwise the former attraction. Throughout the entire Gaussian model, he mainly has two parameters determine the variance and the mean, the mean and variance of the study, to take a different learning mechanism, will directly affect the stability, accuracy and convergence model. Since we are moving object extraction of the background modeling, so the need for the Gaussian model variance and mean two parameters real-time updates. In order to improve the learning ability of the model, an improved method for updating the mean and variance of different learning rates to improve in the busy scene, large and slow moving object detection results, the introduction of)

说明：  遥感图像分割,包括七幅图像matlab实现(image segntme)

实现对邮票中手写字符的提取，得出灰度直方图，平滑算法，锐化算法以及输出二值化图像(Realization of the extraction of handwritten characters in stamps)

一个不错的人脸检测演示系统里面有人脸检测的实际照片包+(face detect system)

较简易的视频目标跟踪算法，有需要的朋友可参考(Than simple video target tracking algorithm, there is a need to refer to a friend)