FUSION

根据RBM深度网络（Hinton，2006）进行MINST手写文字的分类器的训练，利用训练得到的权值制作了这个小程序，通过这个程序可以看出训练结果对数据集内的测试样本和训练样本都能进行很好的识别，但是对其他的手写字体识别就没有那么好了。(According to RBM depth network (Hinton, 2006) conducted MINST handwritten text classifier training, using the training to get the right value to produce this small program, this program can be seen through the results of the training data set and the training sample test samples are can be well identified, but on the other handwriting recognition is not so good.)

一种图像分割算法，通过区域生长进行图像分割，所得到的区域是闭合的曲线。(An image segmentation algorithm for region growing image segmentation, the region has been closed curve.)

该代码用于实现视频监控/视觉监控/视频智能监控/视觉智能监控，具有友好的人机交互界面。在工作时，利用连接在计算机上的摄像头取得视频图像，通过背景减除、滤波、二值化处理、识别等技术，实现对视频目标的监控。(This code is applied to visual surveillance/video surveillance/visual intelligent surveillance/video intelligent surveillance which has a friendly human-machine interface. When working, it detects objects in video using some techniques containing background subtraction, filter, binarization, and recognition. )

《医学图像编程技术》，周振环。一书的源码(the source code of the "medical picture programing")

这是TV模型最新的快速计算Matlab源代码，算法可以解决很多非线性扩散方程的计算。稳定性高，计算快。(This is the latest TV models fast calculation of Matlab source code, the algorithm can solve a lot of non-linear diffusion equation calculations. High stability, fast calculation.)

通过小波变换方法对雾天的图像去雾，实现图像增强的效果(Through the wavelet transform of images of fog to fog, to achieve the effect of image enhancement)

主分量分析的源代码，附有简单的解释说明，主要对图像矩阵做降维处理，适用多幅图像的变化检测(Principal component analysis of the source code, a simple explanation, the main image matrix reducing dimension, suitable for image change detection)

图像处理中常用的的标准图像，已经分类，包括PNG、BMP、TIFF、JPG等，未进行二次处理(The image processing used in the standard image has been classified, including PNG, BMP, TIFF, JPG, not second)

说明：  通过hough变换求图像中的圆的参数（圆心坐标和半径）(Through the hough transform for image circle parameters (center coordinates and radius))

说明：  图像处理程序，基于K均值聚类的图像分割——灰度图像，基于中位数算法的运动目标检测(Image processing program, image segmentation based on k-means clustering -- gray image, moving target detection based on median algorithm)