fast_distance_map_caculate

说明：  SSR、MSRCR、Retinex和暗通道四种去雾算法的matlab实现，亲测好用，改图片名可以直接运行，效果很好(The matlab implementation of SSR, msrcr, Retinex and dark channel defogging algorithms is easy to test and use. Changing the image name can run directly, and the effect is very good)

自己编写的广义霍夫变换，里面有测试图片，可以作为学习霍夫变换的入门(I have written a generalized Hough transform, there are test images, the Hough transform can be started as a learning)

利用小波变换进行图像去噪处理，包括各种软硬阈值的选取函数(Using Wavelet Transform for Image Denoising, including a variety of select hard and soft threshold function)

在MATLAB编程环境下，使用一种活动轮廓的方法实现图像分割的程序。(In the MATLAB programming environment, the use of an active contour method to achieve image segmentation procedures.)

说明：  matlab图像滤波去噪分析及其应用 双线性滤波、Kirsch滤波、超限邻域滤波、逆滤波、双边滤波、同态滤波、小波滤波、六抽头滤波、约束最小平方滤波、非线性复扩散滤波、Lee滤波、Gabor滤波，、Wiener滤波、Kuwahara滤波、Beltrami流滤波、Lucy?Richardson滤波、NoLocalMeans滤波等研究内容。(Analysis and application of MATLAB image filtering and denoising Bilinear filtering, Kirsch filtering, transfinite neighborhood filtering, inverse filtering, bilateral filtering, homomorphic filtering, wavelet filtering, six tap filtering, constrained least square filtering, nonlinear complex diffusion filtering, Lee filtering, Gabor filtering, Wiener filtering, Kuwahara filtering, Beltrami flow filtering, Lucy Richardson filtering, nolocalmeans filtering, etc.)

对图像进行平滑处理，像各种滤波的方法，如均值滤波法、中值滤波法(Smoothing the image, like the various filtering methods, such as mean filtering, median filtering method)

图像拟合圆并标记圆心坐标，有需要的同志可以参考(The image is fitted to the circle and the center coordinates are marked)

采用了小波变换的方法实现了红外光图像与可见光图像的融合，并且设计了一个简单的matlab GUI界面。小波变换的分解层数为2层，采用低频平均高频取大的融合规则，融合效果非常欢迎下载。(The method of wavelet transform is used to realize the fusion of infrared and visible light images, and a simple matlab GUI interface is designed. The number of decomposition layers of the wavelet transform is 2 layers, and the fusion rule is adopted by the low frequency average high frequency. The fusion effect is very welcome to download.)

对场景分类和语义特征稀疏化的高层图像表示(Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification)

这是关于pca的文件，说明实现pca的降维(This is the file on pca, achieve pca dimensionality reduction)