two_chaotic image encryption

说明：  基于matlab的傅里叶光学仿真教程和光学原理讲解，有很多实用代码(matlab tutorial for fourier optics, containing simulation codes and basic theory)

sift匹配与识别演示程序 运行face.m文件，载入图片后可提取sift特征点(sift demonstration.rar. run face.m)

说明：  一些简单的对图像的处理和直方图均衡化的复刻，可帮助初学者增加认知(Some simple image processing and histogram equalization can help beginners increase cognition)

gif动画制作工具，界面简洁易用，非常实用！(gif maker！)

为了提高数字图像中椭圆检测的效率和准确性,提出了一个基于最小二乘法的改进的随机椭圆检测算法. 该算法随机选取图像中的3 个边缘点,在以这3 个点为中心的窗口内,从边缘点中拟合出可能椭圆,并通过随机选 取的第4 个边缘点来确认可能椭圆. 利用直接最小二乘法椭圆拟合的特性,引入可能椭圆边缘点收集和椭圆重新 拟合的迭代过程来提取最终的椭圆参数. 通过对含有不同噪声的仿真图片和包括残缺椭圆的实际图片的实验表 明,新算法的改进是有效的. 与原算法相比,新算法降低了对参数的依赖性,提高了检测的速度、稳定性和准确性, 同时保留了原算法的抗噪声能力.(: An imp roved randomized ellip se detection algorit hm based on least square approach was proposed to enhance t he efficiency and accuracy of ellip se detection in digital images. This algorit hm randomly se2 lect s three edge point s in t he image , and t hen uses least square approach to fit all t he edge point s in three windows , which are defined by t he t hree edge point s. The forth edge point is randomly selected to judge whet her a possible ellip se exist s in t he image. Utilizing the characteristic of direct least square fit ting of ellip se , an iteration process of edge point collecting and ellip se refit ting of possible ellip se was int roduced to ext ract t he final ellip se’s parameters. Artificial images wit h different level s of noise and nature images containing incomplete ellip ses were employed to test t his algorithm. Experimental result s show that t he improvement s are notable. Compared with the original algorit hm , t he propo sed algorit hm reduces)

在matlab环境下完成分水岭算法图像分割(Matlab environment in the completion of the watershed image segmentation algorithm)

基于图象小波变换的图象编码的经典算法．程序中包括压缩和解压缩的过程，有可执行的示例．(Image-Based Wavelet Transform Image Coding Algorithm classic. Procedures, including compression and decompression process, the sample has executable.)

C# 整套视觉开发(VisionAndMotionPro)

说明：  NDVI最大值合成法批量计算Python代码(Python Code for Batch Computing by NDVI Maximum Composition Method)

基于灰度图像处理的LSB密写的实现算法，matlab编程实现(Based on gray-scale image processing of LSB Steganography algorithm, matlab Programming)