lianmazhixianjiance

C#截取屏幕源码 可直接截屏、截取当前窗口 实例下载

图像阈值分割，基于matlab的二维Renyi熵算法的灰度图像分割(Image threshold segmentation, matlab based two- dimensional Renyi entropy algorithm gray- scale image segmentation)

fcm聚类分析,用距离方法进行聚类画图，有一定的可操作性(FCM clustering analysis, using distance method for clustering drawing, has a certain operability.)

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)

图像分割算法，包括matlab代码，说明文档和运行结果截图(Image segmentation algorithms, including the matlab code, documentation and operating results screenshot)

基于椒盐噪声滤波的改进加权中值滤波算法,目的在于处理高浓度椒盐噪声，并且有效的保护边缘细节(salt and pepper noise filter and weighted)

将黑白图像转换成灰度级—邻域平均灰度级二维直方图(Black and white images will be converted into gray-scale- the average gray-scale neighborhood of two-dimensional histogram)

说明：  基于DCT域的图像数字水印技术，水印嵌入过程，提取过程，以及嵌入水印的抗干扰性等。(Based on the DCT domain image digital watermark technology, watermark embedding process, extraction process, as well as embedded watermark anti-interference and so on.)

心血管分割，多尺度， 对于中心点的位置有很强的鲁棒性(Edge forcing)

实现图像的相位相关匹配，该算法有一定的优点于其他算法相比。(images related to the phase matching, the algorithm has certain advantages compared to other algorithms.)