BHSM

基于直方图的多阈值分割可以求出三个阈值，适合CT图像分割(Histogram-based multi-threshold segmentation can be obtained three threshold for CT image segmentation)

说明：  利用线性规划问题求解稀疏恢复问题的基追踪（basis pursuit，BP）算法，研究了在含有脉冲噪声干扰的原始信号环境下对经典基追踪算法的改进。(basis pursuit (BP) algorithm)

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)

基于matlab神经网络的遥感图像分类，使用了BP神经网络(Matlab neural network-based remote sensing image classification using BP neural network)

对图像进行高斯滤波后再提取边缘 对图像进行金字塔各层图像进行sobel提取边缘。 内附有原图，处理后的效果图及程序结果说明。(Gaussian filter and the image edge extraction layers of the image pyramid image sobel edge extraction. Enclosed is the original deal with the effects of plans and procedures after the results show.)

深度图像的快速实现增强的算法，效果非常好，但是速度很快(Quick to realize the depth of image enhancement algorithms, the effect is very good, but fast)

Retinex算法，用于图像增强。 包括全局域retinex 局部域SSR、MSR、MSRCR(Retinex algorithm for image enhancement. Including full local retinex local domain SSR, MSR, MSRCR)

matlab 噪声处理 白平衡处理 很强大的一段处理程序(matlab noise processing section of the white balance processing is a powerful process)

基于MATLAB实现图像融合，左右焦距融合(Image fusion based on MATLAB,Left and right focal length fusion)

对于一张8位灰度图像lena.bmp 1）运用4×4抖动矩阵，生成对应抖动图像 2）生成有序抖动图像 3）对于一张24位彩色图像，生成4×4抖动图像( For a 8-bit gray image (lena.bmp) 1）Use a dithering matrix (4*4), generate the dithered image. 2) Generate the ordered ditering image (4*4). 3) For a 24-bit color image, generate the dithered image (4*4). )