双随机图像加密

说明：  首先对车牌识别系统的现状和已有的技术进行深入的研究，然后开发出一个基于 Python 的车牌识别系统，文中先对车辆图像进行高斯去噪、灰度化和边缘检测等预处理方法，然后用颜色特征和形态特征相结合的方法来确定车牌位置，用彩色分割法来完成车牌分割，最后，运用 SVM 分类训练器完成字符识别并使用Python 软件环境进行车牌识别的仿真实验。(License plate recognition based on SVM)

针对电气设备同一场景的红外与可见光图像间一致特征难以提取和匹配的问题，提出了一种基于斜率一致性的配准方法。首先通过数学形态学方法分别提取红外与可见光图像的边缘，得到粗边缘图像；然后通过SURF算法提取两幅边缘图像的特征点，根据正确的匹配点对之间斜率一致性的先验知识，进行特征点匹配；最后通过最小二乘法求得仿射变换模型参数并实现两幅图像的配准。实验结果表明，该方法有效提高了匹配点对的正确率，能够对电气设备红外和可见光图像实现高精度的配准。(In this paper, a method based on slope consistency is proposed to solve the problem that the uniform features of infrared and visible images are difficult to extract and match. Firstly, the edges of infrared and visible images were extracted by mathematical morphology, and the rough edge images were obtained. Then, the feature points of two edge images were extracted by SURF algorithm, and the priori knowledge of slope consistency was obtained according to the correct matching point, and the feature points were matched. Finally, the model parameters of affine transformation are obtained by least square method and the registration of two images is realized. The experimental results show that this method can effectively improve the accuracy of matching points, and can realize high precision registration of infrared and visible images of electrical equipment.)

这是一个灰度图像进行哈夫曼编码的Matlab程序，包括编码和解码部分。绝对能用！(Huffman Code)

多种SAR成像的算法MATLAB程序，包括CS,RMA,RD(A variety of SAR imaging algorithm MATLAB program, including CS, RMA, RD)

active shape model的程序，用matlab编写(The programme using Matlab to realize the active shape model )

平台基于visual studio2015，使用opencv函数实现高斯滤波，进行图像处理(gaussian blur based on opencv)

小波分辨边缘，但是要自己加工一下。可以读取RGB转化为灰度图像。(Wavelet-resolved edge, but to look at their own processing. RGB can be read into a gray image.)

说明：  matlab软件进行近红外光谱图像处理mwpls方法，进行最佳光谱区间的选择(Matlab software for near infrared spectral image processing mwpls method, the best spectral range selection)

Cox 论文、程序matlab代码，仿真结果以及读书笔记，有助于学习(Cox papers, procedures matlab code, simulation results, as well as study notes, contribute to learning)

Dijkstra’s算法的实现,还有具体的实验报告,欢迎下载()