encrypt-a-decrypt

说明：  机载合成孔径雷达自聚焦算法，没有实测数据，用的是点目标仿真(Airborne synthetic aperture radar algorithm for self-focusing, there is no measured data, using a point-target simulation)

说明：  对边缘图像作hough变换，从峰值中恢复出车道线(Right edge of the image for hough transform, recovered from a peak in the lane)

自己编写的单应性矩阵的求法，按照张正友的论文进行编写的。希望有用。(I have written the homography method, according to Zhang Zhengyou papers prepared for. I hope useful.)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为SL0算法，对256*256的lena图处理，比较原图和SL0算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间 (Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and SL0 algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using SL0 algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

画图源程序-图像数据显示，可以对数据进行时间轴的曲线显示，也可以是空间轴的多维显示 (Paint source- the image data, the data can be curve shows the time axis, it can be multi-dimensional display space axis)

转换图象为二值图象后，进行识别与标记的matlab源码。可以计算目标物个数，形心等。(image conversion value for the two images, identification and marking of Matlab source. Can be calculated from the number of goals, such as heart-shaped.)

多类图像特征结合上下文信息进行目标识别（分类、分割）(Many types of image features combined with context information for target identification (classification, segmentation))

水平集方法的实例演示,对于初学水平集的朋友有很多帮助。(Examples demonstrate the level set method, the level set for the beginner friends have a lot of help.)

TV模型属于图像处理领域里面的图像修复模型，对图像处理邻域的学习有很大的裨益(The TV model belongs to the image restoration model in the field of image processing, which is of great benefit to the study of image processing neighborhoods.)

DPCM 图像的线性预测编码 有完整的运行界面使用简单(DPCM image of linear predictive coding to run a complete easy to use interface)