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5相位编组法实现纹理直线边缘的检测matlab程序代码。不同于hough变换。附带文字的原理讲解(The five-phase grouping texture straight edge detection ，matlab code. Different from the hough transform. explain with the accompanying text )

仿qq截图功能，如下图

模糊C均值聚类算法，对图像进行分类，图像处理，多类划分，SAR图像分类(Fuzzy c-means algorithm clustering algorithm, the image classification, image processing, many kinds of division, the SAR image classification)

利用小波变换的去噪程序！和中值滤波进行对比！(The use of wavelet transform denoising procedure! And median filtering comparison!)

说明：  图像处理中常常提取的 一些特征向量的算法。(Extract feature vector)

关于运动目标检测与跟踪最新的算法 其效果比之前的跟踪算法好很多(The effect of moving target detection and tracking algorithm is much better than before the tracking algorithm)

说明：  应用条件随机场进行图像分割 使用方法：将pydensecrf-py27或pydensecrf-py35重命名为pydensecrf，放入C:Program FilesAnaconda3Libsite-packages 运行：python inference.py im1.png anno1.png out.png(Renameing the file "pydensecrf-py27" or "pydensecrf-py35" to the new name "pydensecrf" Puting this file "pydensecrf" in this directory "C:Program FilesAnaconda3Libsite-packages" cd examples/ python inference.py im1.png anno1.png out.png)

对图像进行修复，直方图均衡化处理，中值滤波和均值滤波(To repair the image, histogram equalization, median filtering and mean filtering)

非线性CS算法,提高SAR成像的精度，弥补CSA和RDA的不足(Nonlinear Chirp Scaling Algorithm)

VC++图像平滑处理+程序源码，实现图象的平滑（去噪声），锐化功能，测试时请在C盘下放一个测试用的Bmp图片，路径：C: est.bmp，没有的话没法测试。如上图所示是水平平滑处理，可以对比下，不过感觉颜色失真了，有兴趣的看一下。命令行编译过程如下： 　　vcvars32 　　rc bmp.rc 　　cl smooth.c bmp.res user32.lib gdi32.lib(VC++ image smoothing+ program source code, to achieve a smooth image (to noise), sharpening function in the C drive when testing a test of decentralization Bmp picture, path: C: test.bmp, no words can not test . Is shown above the level of smoothing, you can compare the next, but the feeling of color distortion, interested look. Command-line compiler as follows: vcvars32 rc bmp.rc cl smooth.c bmp.res user32.lib gdi32.lib)