darkchannel

Application of the Fourier-Mellin transform to translation-, rotationand scale-invariant plant leaf identification

说明：  基于matlab的多帧图像超分辨重建。可以自行下载下来直接运行。(Multi frame image super-resolution reconstruction based on MATLAB.)

本程序是运用脉冲耦合神经网络（PCNN）算法进行图像分割的一个实例。基于PCNN的图像分割是一种图像像素相似度临近相似性的图像分割方法，已被广泛应用于图像平滑，分割及边缘检测等图像处理领域。(This program is an instance of the algorithm for image segmentation using pulse coupled neural network (PCNN). PCNN-based segmentation of an image pixel similarity near the the similarity image segmentation method has been widely used in image smoothing, segmentation and edge detection image processing applications.)

对有雾的图像运用大气散射模型进行处理，通用的大四散射模型与图像的饱和度有一定关系，于是利用HSV模型中的饱和度H进行去雾处理(On a foggy image processing using atmospheric scattering model, saturation senior general scattering model have a certain relationship with the image, so the use of HSV model saturation H were treated to fog)

关于图像分割中分水岭的一个代码，能够实现相应功能，拿出来与大家共享(Image segmentation in the watershed on a code, can achieve the corresponding functions, and show to share with you)

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)

一个实用超声波滤波算法,大家可以参考一下,()

matlab模拟产生马鞍形光学条纹图，通过求取其条纹方向，二值化得到其巨齿包裹图，中心线图。这些对于激光散斑（ESPI），雷达干涉（INSAR）图像的去包裹有重要的指导意义。()

用matlab编写的实现椭圆检测的程序，自己稍微改下就可以(using Matlab prepared by the realization ellipse detection procedures, their own little can be changed under)

本程序用于CT医学图像三维重建，使用MATLAB软件实现，简单易学(3d reconstruction usingmatlab)