houghcircle

利用模糊C均值图像分割,此为matlab环境下的仿真代码.(Using fuzzy C-means image segmentation, this matlab code simulation environment.)

里面提出一种阈值的思想 正常进行DF中继转发需要进行译码 而该方法根据阈值判断是否需要译码 降低复杂度(A Threshold-Based Hybrid Relay Selection Scheme)

变分模态分解，VMD二维算法及测试示例，用来分解二维图像数据(Decomposition of two-dimensional image data)

该程序功能是实现对道路流动车辆统计。小模块功能有以下几个：1，对视频解帧并显示。2，对该视频训练背景图片。 3，利用背景图片用减背景法对测试视频进行前景提取，并进行阈值处理，图像分割，找出流动车的连通域。 4，对车辆进行统计。程序包内含有界面说明，以及程序使用的步骤和相关注意事项(The program function is to achieve movement of vehicles on the road statistics. A small module function has the following: 1 solution for video frames and displayed. 2, the video training background image. 3, using the background image used by the background method of testing the prospects for video extraction, and conduct threshold processing, image segmentation, to identify mobile car-connected domain. 4, vehicle statistics. Interface package contains instructions and procedures related to the use of the steps and considerations)

人工神经网络用于图像分割的matlab程序代码，此程序分割的是车牌图像(Artificial neural network for image segmentation matlab code, this procedure is the license plate image segmentation)

基于matlab的图像配准原代码，适合各种格式的图像(Matlab-based image registration of the original code, a variety of formats suitable for image)

利用matlab进行图像数据的剪裁，需要提供需剪裁影像的中心点行列号；RMSE.m是计算均方根误差RMSE的程序。(Using MATLAB to tailor the image data, we need to provide the central point and row number of the image to be tailored. RMSE.m is a program to calculate the root mean square error RMSE.)

说明：  颗粒粗化源码，将马赛克现象认为的作用于一副图像，称之为颗粒粗化。可以用来建立图像切换效果(source of coarse particles, that the phenomenon will mosaics in the role of an image, known as particle coarsening. Images can be used for switching effects)

用于立体图像质量评价的无参考图像质量评价程序，运行在matlab环境下。(A no-reference image quality evaluation program for the quality evaluation of stereoscopic images, running in the MATLAB environment .)

自己编写的C++小程序，十字算法，用到KD树，能够有效进行点云去噪，压缩数据(I have written a small program C++, cross algorithm used in KD tree, the point cloud can be effectively de-noising, compression of data)