yundongguji1

一款新的数据分析工具，非常简单易用，用在系统辩识中(A new data analysis tools, very easy to use, used in System Identification)

识别结果详见下图，识别图像不错的例子

说明：  Calculate the Laplacian of an image, can be accelerated by the GPU.

说明：  模糊C－均值聚类算法,使用VC++与matlab 编程两种方法实现算法(Fuzzy C-means clustering algorithm, using VC++ and matlab programming algorithm in two ways)

利用自编的mean shift对图像进行均值漂移分割。(The mean shift use self mean shift image segmentation.)

在visual c++中用分形完成的julia集,是分形的具体应用,对学分形的朋友应该有帮助(In the visual c++ Used to complete the julia fractal set, is the concrete application of the fractal, Friend of the credits should be shaped to help)

说明：  该gui函数基本上包括图像处理里面的最基本处理，相当于一个小型photoshop。比如读取文件，几何变换中的垂直镜像，平移，旋转，缩放；正交变换的DFT，FFT，DCT，DST，DHT，DWashT；灰度处理中的反色，直方图均衡，全局线性变换，分段线性变换，指数非线性变换，对数非线性变换；图像增强里面的加噪声，平滑，锐化，伪彩色增强；图像分割里面的灰度阈值法，Robert，Laplace，sobel，prewitt，canny算子边缘检测法；图像恢复里面的直接逆滤波，维纳滤波；图像编码里面的霍夫曼编码，行程编码等等(Basically, the gui functions including the most basic image processing inside the handle, which is equivalent to a small photoshop. For example, read the document, the geometric transformation of the vertical mirroring, shifting, rotating, zooming orthogonal transformation of the DFT, FFT, DCT, DST, DHT, DWashT anti-gray color processing, histogram equalization, global linear transformation , piecewise linear transformation, index of non-linear transform of the number of non-linear transformation image enhancement which increases the noise, smoothing, sharpening, pseudo-color enhancement the gray-scale image segmentation inside the threshold, Robert, Laplace, sobel, prewitt, canny edge detection operator method image restoration inside direct inverse filtering, Wiener filtering image coding inside the Huffman code, and so on Run-Length Coding)

说明：  matlab实现帧间差分提取运动目标，包含测试视频和运行效果。在背景固定的视频中效果较好。附赠lena图片以供CV学习。(Matlab achieves inter-frame differential extraction of moving objects, including testing video and running effects. It works well in video with fixed background. Enclosed Lena pictures for CV learning.)

提出了一种广义迭代收缩算法（GISA）非凸稀疏编码，可以解决稀疏编码的一些优化问题.希望能对大家有所帮助！(A generalized iterative contraction algorithm (GISA) is proposed to solve some of the optimization problems of sparse coding. We hope to be helpful to everyone!)

信息隐藏与数字水印实验教程_杨榆主编_国防工业出版社（书中各实验源码)(Information hiding and digital watermarking Yu Yang, editor of experimental tutorial _ _ Defense Industry Press (the book of the experimental source))