DCT+DWTmatlab数字水印代码

提出了两个已知波长的消光系数比来表征气溶胶粒子对入射激光衰减特性的方法。(Two known wavelengths of the extinction coefficient of light than to represent the attenuation characteristics of the aerosol particles on the incident laser.)

Demo for smoke effects on old NVIDIA GPUs.

matlab函数进行图像轮廓处理，处理效果还是可以的。(matlab function detect the picture and scale the picture)

利用霍夫变换进行椭圆检测，无需模板，不同的图片只需要更改个别参数(Ellipse detection using Hough transform, without templates, a different picture only need to change individual parameters)

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)

暗通道去雾算法，可将风景图片实现去污效果。不会影响其原有的分辨率。效果比传统的均衡化好。(Dark channel dehazing algorithm, can achieve the decontamination effect picture. Will not affect its original resolution. Results than traditional good equalization.)

用方向可调小波变换实现图像边缘提取，包涵实验报告及原图像及处理结果(Steerable Wavelet Transform using edge extraction, bear with lab reports and the original image and processing results)

说明：  SVM支持向量机在图像分割中的应用，包含Matlab源代码和SVM所用函数。(The application of SVM support vector machine in image segmentation, including Matlab source code and functions used by SVM.)

说明：  GVF-SNAKE分割 解决了收敛速度慢、收敛不理想的问题(Image segmentation using GVF Snake)

一个很好的PCA程序。它可用于数据的降维，消噪及特征提取。(A good PCA procedures. It can be used for data dimensionality reduction, de-noising and feature extraction.)