图像加解密

CFAR的MATLAB程序实现 将目标和杂波有效的分开(cfar matlab)

图像处理，对图像进行二值化变化，对图像进行增强处理，及进行去噪处理 (image processing)

说明：  使用lbp算法来计算出一副图片的纹理程度，归一化处理(LBP calculates the texture level of the image)

关于脊波变换的图像分割源码，运行良好，测试可行，绝对超值(Ridgelet transform for image segmentation source code, run the test feasible, the absolute value)

说明：  Donoho提出的小波阀值去噪的基本思想是将信号通过小波变换（采用Mallat算法）后，信号产生的小波系数含有信号的重要信息，将信号经小波分解后小波系数较大，噪声的小波系数较小，并且噪声的小波系数要小于信号的小波系数，通过选取一个合适的阀值，大于阀值的小波系数被认为是有信号产生的，应予以保留，小于阀值的则认为是噪声产生的，置为零从而达到去噪的目的。尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点。(The basic idea of wavelet threshold de-noising proposed by Donoho is that the wavelet coefficients generated by the signal after passing through the wavelet transform (Mallat algorithm) contain the important information of the signal. After the wavelet decomposition, the wavelet coefficients of the signal are larger, the wavelet coefficients of the noise are smaller, and the wavelet coefficients of the noise are smaller than the wavelet coefficients of the signal. By selecting a suitable threshold, the wavelet coefficients of the noise are larger than the valve The wavelet coefficients of values are considered to be generated by signals, which should be preserved. The ones less than the threshold are considered to be generated by noise, which is set to zero to achieve the purpose of denoising.)

用于评价图像分割算法性能的代码，包中的word文档对所用方法进行了简单的说明，还列出了具体的参考文献(Image segmentation algorithm for evaluating the performance of the code, including the word document on the methods for a simple explanation, but also a list of specific references)

说明：  图像边缘检测，图像中值滤波和MATLAB处理(Digital Image processing based on FPGA)

fbp算法实现CT重建，包括不同投影个数、探测器个数和噪声对重建后图像的质量的影响。(FBP CT reconstruction algorithm, including the number of different projection, and the number of detector noise on the reconstructed image quality.)

介绍Opencv这个图像处理库环境下的GMM建模与EM算法，从数学的角度深入分析高斯建模和EM算法(Introduce the the Opencv this image processing GMM modeling the EM algorithm in the library environment, in-depth analysis from a mathematical point of the Gaussian model and the EM algorithm)

这是我的大作业，作用是测试车流量并计数，使用高斯模型对车辆进行定位分割，已验证成功内附测试视频(This is my big job, the role is to test the traffic flow and counting, the use of the Gauss model of the vehicle positioning and segmentation, has been verified successfully included test video)